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CEC 1999: Washington, DC, USA
- Proceedings of the 1999 Congress on Evolutionary Computation, CEC 1999, Washington, DC, USA July 6-9, 1999. IEEE 1999, ISBN 0-7803-5536-9
Multi-Objective Optimization
- Carlos A. Coello Coello
:
An updated survey of evolutionary multiobjective optimization techniques: state of the art and future trends. 3-13 - Silvère Massebeuf, Christian Fonteix, Laszlo Nandor Kiss, Ivan Marc, Fernand Pla, K. Zaras:
Multicriteria optimization and decision engineering of an extrusion process aided by a diploid genetic algorithm. 14-21 - Katya Rodríguez-Vázquez
Genetic programming for dynamic chaotic systems modelling. 22-28 - Dragan Cvetkovic, Ian C. Parmee:
Genetic algorithm-based multi-objective optimisation and conceptual engineering design. 29-36 - K. J. Shaw, Anne L. Nortcliffe
Assessing the performance of multiobjective genetic algorithms for optimization of a batch process scheduling problem. 37-45 - Hisashi Tamaki, Etsuo Nishino, Shigeo Abe
A genetic algorithm approach to multi-objective scheduling problems with earliness and tardiness penalties. 46-52 - F. Sibel Salman
Cooperative strategies for solving the bicriteria sparse multiple knapsack problem. 53-60 - Robert S. H. Istepanian, James F. Whidborne
Multi-objective design of finite word-length controller structures. 61-68 - Tomoyuki Hiroyasu, Mitsunori Miki, Shinya Watanabe:
Distributed genetic algorithms with a new sharing approach in multiobjective optimization problems. 69-76 - Kalyanmoy Deb:
Solving goal programming problems using multi-objective genetic algorithms. 77-84 - Susana C. Esquivel, Héctor A. Leiva, Raúl Héctor Gallard:
Multiplicity in genetic algorithms to face multicriteria optimization. 85-90 - Sadiq M. Sait, Habib Youssef, Hussain Ali:
Fuzzy simulated evolution algorithm for multi-objective optimization of VLSI placement. 91-97 - Joshua D. Knowles
The Pareto archived evolution strategy: a new baseline algorithm for Pareto multiobjective optimisation. 98-105 - Kay Chen Tan, T. H. Lee, E. F. Khor:
Evolutionary algorithms with goal and priority information for multi-objective optimization. 106-116
Learning
- Paul A. Creaser, Barry A. Stacey:
Generation of dual missile strategies using genetic algorithms. 117-124 - Robert Cattral, Franz Oppacher, Dwight Deugo
Rule acquisition with a genetic algorithm. 125-129 - Christopher N. Chapman, Lana Deaton, Angela Harris, Nova Robinson:
A genetic algorithm system to find symbolic rules for diagnosis of depression. 130-136 - Araceli Sanchis
Knowledge acquisition including tags in a classifier system. 137-144 - Marília Oliveira, Jorge Barreiros
LamBaDa: an artificial environment to study the interaction between evolution and learning. 145-152 - Luigi Barone, Lyndon While:
An adaptive learning model for simplified poker using evolutionary algorithms. 153-160 - Annemarie E. Langham, Philip W. Grant:
Evolving rules for a self-organizing finite element mesh generation algorithm. 161-168 - Terry Bossomaier, Tim Cranny, Derek Schneider:
A new paradigm for evolving cellular automata rules. 169-176 - Cesar Guerra-Salcedo, Stephen Chen
Fast and accurate feature selection using hybrid genetic strategies. 177-184 - Susu Yao:
Evolutionary search based fuzzy self-organizing clustering. 185-188 - Victor V. Miagkikh, William F. Punch III:
Global search in combinatorial optimization using reinforcement learning algorithms. 189-196 - Alan D. Blair
Exploring evolutionary learning in a simulated hockey environment. 197-203 - Alain Pétrowski, Marc Girot-Genet:
A classification tree for speciation. 204-211 - Ibrahim Kuscu:
A genetic constructive induction model. 212-217 - James G. Shanahan, Jim F. Baldwin, Trevor P. Martin:
Constructive induction of fuzzy Cartesian granule feature models using genetic programming with applications. 218-228
Time Series
- Alaa F. Sheta
Identification of nonlinear communication channel using evolutionary Volterra time-series. 229-235 - Sathyanarayan S. Rao, H. K. Birru, Kumar Chellapilla:
Evolving nonlinear time-series models using evolutionary programming. 236-243 - Hitoshi Iba, Takashi Sasaki:
Using genetic programming to predict financial data. 244-251 - Jung-Jib Kim, Byoung-Tak Zhang:
Effects of selection schemes in genetic programming for time series prediction. 252-258 - Bernhard Sendhoff
Variable encoding of modular neural networks for time series prediction. 259-266 - Shu-Heng Chen
Would evolutionary computation help in designs of ANNs in forecasting foreign exchange rates? 267-274 - Helmut A. Mayer, Roland Schwaiger:
Evolutionary and coevolutionary approaches to time series prediction using generalized multi-layer perceptrons. 275-280 - Byoung-Tak Zhang, Je-Gun Joung:
Time series prediction using committee machines of evolutionary neural trees. 281-286 - Christian Hafner, Jürg Fröhlich
Generalized function analysis using hybrid evolutionary algorithms. 287-294 - Ikuo Yoshihara, M. Numata, Ken Sugawara, S. Yamada, Kenichi Abe:
Time series prediction model building with BP-like parameter optimization. 295-301 - Adelino R. Ferreira da Silva:
Evolving best-basis representations. 302-309 - Dong-Wook Lee, Kwee-Bo Sim:
Evolving chaotic neural systems for time series prediction. 310-316 - Eduardo Gómez-Ramírez
Adaptive architecture of polynomial artificial neural network to forecast nonlinear time series. 317-326
Robotics
- Dilip Kumar Pratihar, Kalyanmoy Deb, Amitabha Ghosh:
Fuzzy-genetic algorithms and mobile robot navigation among static obstacles. 327-334 - Richard A. Watson, Sevan G. Ficiei, Jordan B. Pollack:
Embodied evolution: embodying an evolutionary algorithm in a population of robots. 335-342 - Jiming Liu, Chow Kwong Pok, Hui Ka Keung:
Learning coordinated maneuvers in complex environments: a sumo experiment. 343-349 - Jiming Liu, Jian-Bing Wu, David A. Maluf:
Evolutionary self-organization of an artificial potential field map with a group of autonomous robots. 350-357 - Carl G. Schaefer Jr.:
Morphogenesis of path plan sequences through genetic synthesis of L-system productions. 358-365 - Toshiyuki Kondo
Realization of robust controllers in evolutionary robotics: a dynamically-rearranging neural network approach. 366-373 - Yasuhisa Hasegawa
Re-grasping behavior acquisition by evolutionary programming. 374-380 - Simon Perkins:
Evolving robot vision: increasing performance through shaping. 381-388 - Nachol Chaiyaratana
Hybridisation of neural networks and genetic algorithms for time-optimal control. 389-396 - Naoyuki Kubota, Toshihito Morioka, Fumio Kojima, Toshio Fukuda:
Perception-based genetic algorithm for a mobile robot with fuzzy controllers. 397-404 - Olivier Chocron, Philippe Bidaud:
Evolving walking robots for global task based design. 405-412 - Antonio Berlanga
Neural networks robot controller trained with evolution strategies. 413-419 - Tim D. Barfoot, Gabriele M. T. D'Eleuterio:
An evolutionary approach to multiagent heap formation. 420-427 - C. T. C. Arsene, Ali M. S. Zalzala:
Control of autonomous robots using fuzzy logic controllers tuned by genetic algorithms. 428-438
Biomodeling
- Jon J. Brewster, Michael Conrad:
Computer experiments on the development of niche specialization in an artificial ecosystem. 439-444 - Kumar Chellapilla, Gary B. Fogel:
Multiple sequence alignment using evolutionary programming. 445-452 - Jason M. Daida, Seth P. Yalcin, Paul M. Litvak, Gabriel A. Eickhoff, John A. Polit:
Of metaphors and Darwinism: deconstructing genetic programming's chimera. 453-462 - Gary B. Fogel, Kumar Chellapilla:
Simulated sequencing by hybridization using evolutionary programming. 463-469 - Peter Eggenberger, Raja Dravid:
An evolutionary approach to pattern formation mechanisms on lepidopteran wings. 470-473 - John S. Gero:
Extensions to evolutionary systems in design from genetic engineering and developmental biology. 474-479 - Hidefumi Sawai, Susurnu Adachi:
Genetic algorithm inspired by gene duplication. 480-487 - Garrison W. Greenwood, Jae-Min Shin, Byungkook Lee, Gary B. Fogel:
A survey of recent work on evolutionary approaches to the protein folding problem. 488-495 - Dorian S. Houser
Creation of a biomimetic model of dolphin hearing through the use of evolutionary computation. 496-502 - Geza Szekely, Mary Lou Padgett, Gerry V. Dozier:
Evolutionary computation enhancement of olfactory system model. 503-510 - Jose L. Segovia-Juarez
Hypernetwork model of biological information processing. 511-518
Engineering Design
- M. A. Beck, Ian C. Parmee:
Design exploration: extending the bounds of the search space. 519-526 - Kurt S. Anderson, Yuhong Hsu:
Genetic crossover strategy using an approximation concept. 527-533 - Khaled Rasheed, Brian D. Davison
Effect of global parallelism on the behavior of a steady state genetic algorithm for design optimization. 534-541 - Sin Chun Ng
A variable step size algorithm using evolution strategies for adaptive filtering. 542-545 - Ian C. Parmee, Christopher R. Bonham:
Cluster-oriented genetic algorithms to support interactive designer/evolutionary computing systems. 546-553 - Christopher R. Bonham, Ian C. Parmee:
Improving the performance of cluster oriented genetic algorithms (COGAs). 554-561 - Trevor D. Collins
HENSON: a visualization framework for genetic algorithm users. 562-572
Constraints
- Carlos A. Coello Coello
Self-adaptive penalties for GA-based optimization. 573-580 - Zbigniew Michalewicz
Towards understanding constraint-handling methods in evolutionary algorithms. 581-588 - Luk Schoofs, Bart Naudts, Ives Landrieu:
SAWing on symmetry. 589-595 - Günther R. Raidl:
Weight-codings in a genetic algorithm for the multi-constraint knapsack problem. 596-603 - Hugo Terashima-Marín
Application of the hardness theory when solving the timetabling problem with genetic algorithms. 604-611 - Ahmet Irfan Oyman, Kalyanmoy Deb, Hans-Georg Beyer
An alternative constraint handling method for evolution strategies. 612-622
Theory
- Márk Jelasity
Characterizations of trajectory structure of fitness landscapes based on pairwise transition probabilities of solutions. 623-630 - William M. Spears:
Aggregating models of evolutionary algorithms. 631-638 - Lothar Gruenz, Hans-Georg Beyer
Some observations on the interaction of recombination and self-adaptation in evolution strategies. 639-645 - Günter Rudolph:
Self-adaptation and global convergence: a counter-example. 646-651 - Tina Yu:
Structure abstraction and genetic programming. 652-659 - Mohammed A. El-Beltagy, Andy J. Keane
Topographical mapping assisted evolutionary search for multilevel optimization. 660-665 - Garrison W. Greewood, Gary B. Fogel, Manuel Ciobanu:
Emphasizing extinction in evolutionary programming. 666-671 - William E. Hart, Keith O. Hunter:
A performance analysis of evolutionary pattern search with generalized mutation steps. 672-679 - Ida G. Sprinkhuizen-Kuyper, C. A. Schippers, A. E. Eiben:
On the real arity of multiparent recombination. 680-686 - William G. Macready, Bennett S. Levitan:
Learning landscapes: regression on discrete spaces. 687-694 - Ralf Salomon:
The deterministic genetic algorithm: implementation details and some results. 695-702 - Colin R. Stephens:
"Effective" fitness landscapes for evolutionary systems. 703-714 - Annie S. Wu, Kenneth A. De Jong:
An examination of building block dynamics in different representations. 715-721 - Byoung-Tak Zhang:
A Bayesian framework for evolutionary computation. 722-728 - Alexandru Agapie:
Adaptive genetic algorithms-modeling and convergence. 729-735 - Colin R. Reeves:
Predictive measures for problem difficulty. 736-743 - Worthy N. Martin, Allen L. Barker, James P. Cohoon:
Problem perturbation: implications on the fitness landscape. 744-751 - Heinz Mühlenbein, Thilo Mahnig:
The Factorized Distribution Algorithm for additively decomposed functions. 752-759 - Arnold L. Patton, Erik D. Goodman
Scheduling variance loss using population level annealing for evolutionary computation. 760-767 - C. W. Ho, K. H. Lee, K. S. Leung:
A genetic algorithm based on mutation and crossover with adaptive probabilities. 768-775 - Emanuel Falkenauer:
The worth of the uniform. 776-782 - Hans-Michael Voigt:
On some difficulties in local evolutionary search. 783-787 - Thomas M. English:
Some information theoretic results on evolutionary optimization. 788-795 - Martijn Neef, Dirk Thierens, Henryk F. R. Arciszewski:
A case study of a multiobjective recombinative genetic algorithm with coevolutionary sharing. 796-806
Various Applications of Evolutionary Algorithms
- Artemis Moroni, Jônatas Manzolli
Evolutionary computation applied to algorithmic composition. 807-811 - Tu Van Le, Dat Tran
Fuzzy evolutionary programming for hidden Markov modelling in speaker identification. 812-815 - Nicolas Durand
Turbo codes optimization using genetic algorithms. 816-822 - Chuan Zhang, Xin Yao
Evolving materialized views in data warehouse. 823-829 - Gerald R. Clark:
A novel function-level EHW architecture within modern FPGAs. 830-833 - Shu-Heng Chen
Genetic programming in the agent-based artificial stock market. 834-841 - Shu-Heng Chen, Robert S. H. Istepanian, Bing Lam Luk
Signal processing applications using adaptive simulated annealing. 842-849 - Daniel Howard, Simon C. Roberts:
Object detection by multiple textural analyzers. 850-854 - Sushil J. Louis, Qinxue Chen, Satish Pullammanappallil:
Seismic velocity inversion with genetic algorithms. 855-861 - Linyu Yang, John Yen, Athirathnam Rajesh, Ken D. Kihm:
A supervisory architecture and hybrid GA for the identifications of complex systems. 862-869 - Henri Luchian, Ben Paechter, Vlad Radulescu, Silvia Luchian:
Two evolutionary approaches to cross-clustering problems. 870-876 - Yeon-Gyu Seo, Sung-Bae Cho, Xin Yao
Emergence of cooperative coalition in NIPD game with localization of interaction and learning. 877-884 - Alejandro Pazos
Genetic music compositor. 885-890 - Jae C. Oh
Ostracism for improving cooperation in the iterated prisoner's dilemma game. 891-896 - Gurvinder S. Baicher:
A two stage genetic algorithm for optimisation of causal IIR perfect reconstruction multirate filter banks. 897-903 - Ali M. S. Zalzala, D. Green:
MTGP: a multithreaded Java tool for genetic programming applications. 904-912 - José Aguilar, Pablo Miranda:
Resolution of the left ventricle 3D reconstruction problem using approaches based on genetic algorithm for multiobjective problems. 913-920 - Ralf Salomon:
Applying evolutionary algorithms to real-world-inspired problems with physical smoothness constraints. 921-928 - Hisao Ishibuchi
Evolution of neighborly relations in a spatial IPD game with cooperative players and hostile players. 929-936 - Janusz Kacprzyk
Linguistic summaries of sales data at a computer retailer via fuzzy logic and a genetic algorithm. 937-943 - Alfiedo Cruz, Sumitra Mukherjee:
PLAGA: a highly parallelizable genetic algorithm for programmable logic arrays test pattern generation. 944-954
DNA Computing
- José Miró-Julià, Francesc Rosselló
PNA-enhanced DNA computing. 955-959 - Akio Nishikawa, Masami Hagiya:
Towards a system for simulating DNA computing with whiplash PCR. 960-966 - Gerald G. Owenson, Martyn Amos
Molecular implementation of computational components. 967-971 - Mitsunori Ogihara
Executing parallel logical operations with DNA. 972-979 - Thomas Bäck
Cross-fertilization between evolutionary computation and DNA-based computing. 980-987 - Piotr Wasiewicz, Tomasz Janczak, Jan J. Mulawka
The inference via DNA computing. 988-993 - Soo-Yong Shin, Byoung-Tak Zhang, Sung-Soo Jun:
Solving traveling salesman problems using molecular programming. 994-1000 - Joshua P. Klein, Thomas H. Leete, Harvey Rubin:
A biomolecular implementation of logically reversible computation with minimal energy dissipation. 1001-1005 - Tom Head, Masayuki Yamamura, Susannah Gal:
Aqueous computing: writing on molecules. 1006-1010 - David Harlan Wood, Junghuei Chen:
Physical separation of DNA according to Royal Road fitness. 1011-1018
Parallel and Distributed Processing
- Enrique Alba
Numerical and real time analysis of parallel distributed GAs with structured and panmictic populations. 1019-1026 - Paul J. Walsh:
A parallel evolutionary algorithm for high-level program induction. 1027-1034 - João Viana da Fonseca Neto, Celso Pascoli Bottura:
Parallel genetic algorithm fitness function team for eigenstructure assignment via LQR designs. 1035-1042 - Ashraf Anwar, Dipankar Dasgupta, Stan Franklin:
Using genetic algorithms for sparse distributed memory initialization. 1043-1050 - Julio Ortega
Parallel combinatorial optimization with evolutionary cooperation between processors. 1051-1058 - Peter Nordin, Frank Hoffmann, Frank D. Francone, Markus Brameier, Wolfgang Banzhaf:
AIM-GP and parallelism. 1059-1066 - Nicholas J. Macias:
Ring around the PIG: a parallel GA with only local interactions coupled with a self-reconfigurable hardware platform to implement an O(1) evolutionary cycle for evolvable hardware. 1067-1078
Scheduling
- S. S. Lam, X. Cai:
Early-tardy scheduling under fuzzy due dates using a genetic algorithm. 1079-1084 - Edmund K. Burke
A multi-stage approach for the thermal generator maintenance scheduling problem. 1085-1092 - Brian J. Carnahan, Mark S. Redfern, Bryan A. Norman
A genetic algorithm for designing job rotation schedules considering ergonomic constraints. 1093-1098 - Jeffrey W. Herrmann:
A genetic algorithm for minimax optimization problems. 1099-1103 - Patrick van Bael, Dirk Devogelaere, Marcel Rijckaert:
A hybrid evolutionary search scheduling algorithm to solve the job shop scheduling problem. 1104-1109 - Sofiane Oussedik, Daniel Delahaye, Marc Schoenauer
Dynamic air traffic planning by genetic algorithms. 1110-1117 - David J. Montana, Garrett Bidwell, Gordon Vidaver, Jose Herrero:
Scheduling and route selection for military land moves using genetic algorithms. 1118-1123 - Bogdan Filipic, Darko Zupanic:
Near-optimal scheduling of line production with an evolutionary algorithm. 1124-1129 - Jeffrey A. Joines
Job sequencing and inventory control for a parallel machine problem: a hybrid-GA approach. 1130-1137 - Mikkel Tjornfelt-Jensen, Tage Kiilsholm Hansen:
Robust solutions to job shop problems. 1138-1144 - Panagiotis Adamidis, Panagiotis Arapakis:
Evolutionary algorithms in lecture timetabling. 1145-1151 - Zhenya He, Chengjian Wei, Bingyao Jin, Wenjiang Pei, Luxi Yang:
A new population-based incremental learning method for the traveling salesman problem. 1152-1156 - Daniel A. Ashlock, Jennifer L. Davidson
Texture synthesis with tandem genetic algorithms using nonparametric partially ordered Markov models. 1157-1163 - Alain Ratle, Daoud Aït-Kadi
Evolutionary algorithms for the optimization of reliability in parallel/series redundant systems. 1164-1170 - Frédéric Raynal, Evelyne Lutton
Manipulation of non-linear IFS attractors using genetic programming. 1171-1177 - Georges E. Matile, Andrea G. B. Tettamanzi, Marco Tomassini:
Evolutionary design of time-way charts for plating machines. 1178-1185 - Jorng-Tzong Horng, Li-Yi Lin, Baw-Jhiune Liu, Cheng-Yan Kao:
Resolution of simple plant location problems using an adapted genetic algorithm. 1186-1193 - Kingkarn Sookhanaphibarn, Chidchanok Lursinsap:
Genetic micro-rollback self-recovery synthesis. 1194-1199 - Hugo Terashima-Marín
Clique-based crossover for solving the timetabling problem with GAs. 1200-1206 - Jie Cheng, Yi Lu, Gint Puskorius, Sharon Bergeon, Jing Xiao:
Vehicle sequencing based on evolutionary computation. 1207-1216
Forecasting
- Harald H. Soleng:
Oil reservoir production forecasting with uncertainty estimation using genetic algorithms. 1217-1223 - Lishan Kang, Hongqing Cao, Yuping Chen:
The dynamic evolutionary modeling of higher-order ordinary differential equations for time series real-time prediction. 1224-1229 - Manabu Kotani, Masaki Nakai, Keno Akazawa:
Feature extraction using evolutionary computation. 1230-1236 - Eduardo Masato Iyoda, Leandro Nunes de Castro
Evolutionary design of neurofuzzy networks for pattern classification. 1237-1244 - Kumar Mehta, Siddhartha Bhattacharyya:
Combining rules learnt using genetic algorithms for financial forecasting. 1245-1252 - Jin Li, Edward P. K. Tsang:
Investment decision making using FGP: a case study. 1253-1259 - Mak A. Kaboudan:
Genetic evolution of regression models for business and economic forecasting. 1260-1270
Circuit Design
- Adrian Stoica
Evolutionary design of electronic devices and circuits. 1271-1278 - Katrin Erk:
Simulating Boolean circuits by finite splicing. 1279-1285 - Robert Hinterding:
Representation, constraint satisfaction and the knapsack problem. 1286-1292 - Fulvio Corno
Verifying the equivalence of sequential circuits with genetic algorithms. 1293-1298 - Vesselin K. Vassilev, Julian F. Miller, Terry C. Fogarty:
Digital circuit evolution and fitness landscapes. 1299-1308
Data Mining
- Kan Chen
Towards an evolutionary algorithm: a comparison of two feature selection algorithms. 1309-1313 - María J. Martín-Bautista
A survey of genetic feature selection in mining issues. 1314-1321 - Edgar Noda, Aley A. Freitas, Heitor S. Lopes
Discovering interesting prediction rules with a genetic algorithm. 1322-1329 - Michael J. Cavaretta, Kumar Chellapilla:
Data mining using genetic programming: the implications of parsimony on generalization error. 1330-1337 - Philip G. K. Reiser, Patricia J. Riddle:
Evolution of logic programs: part-of-speech tagging. 1338-1348
Models of Evolationary Computation
- Kumar Chellapilla, David Czarnecki:
A preliminary investigation into evolving modular finite state machines. 1349-1356 - Marc Ebner
On the search space of genetic programming and its relation to nature's search space. 1357-1361 - Dan Ashlock, Mark D. Smucker
Graph based genetic algorithms. 1362-1368 - Buster Greene:
Crossover and diploid dominance with deceptive fitness. 1369-1376 - Nicholas Freitag McPhee, Nicholas J. Hopper:
AppGP: an alternative structural representation for GP. 1377-1383 - Joachim Sprave:
A unified model of non-panmictic population structures in evolutionary algorithms. 1384-1391 - Nicole Weicker, Karsten Weicker
Algorithms' local potential-breakfast included? 1392-1397 - James C. Spall, Stacy D. Hill, David R. Stark:
Theoretical comparisons of evolutionary computation and other optimization approaches. 1398-1405 - Richard A. Watson, Jordan B. Pollack:
Hierarchically consistent test problems for genetic algorithms. 1406-1413 - Akira Imada:
Downhill walk from the top of a hill by evolutionary programming. 1414-1418 - Annie S. Wu, Kenneth A. De Jong, Donald S. Burke, John J. Grefenstette, Connie Loggia Ramsey:
Visual analysis of evolutionary algorithms. 1419-1425 - Jian Zhang, Xiaojing Yuan, Zhixiang Zeng, Bill P. Buckles, Cris Koutsougeras, Saud Amer:
Niching in an ES/EP context. 1426-1433 - Anabela Borges Simoes, Ernesto Costa:
Enhancing transposition performance. 1434-1444
Ant Colony
- Andreas Bauer, Bernd Bullnheimer, Richard F. Hartl
An ant colony optimization approach for the single machine total tardiness problem. 1445-1450 - Pascale Kuntz, Dominique Snyers:
New results on an ant-based heuristic for highlighting the organization of large graphs. 1451-1458 - Guillermo Leguizamón, Zbigniew Michalewicz
A new version of ant system for subset problems. 1459-1464 - Israel A. Wagner, Alfred M. Bruckstein
Hamiltonian(t)-an ant-inspired heuristic for recognizing Hamiltonian graphs. 1465-1469 - Marco Dorigo, Gianni Di Caro
Ant colony optimization: a new meta-heuristic. 1470-1477 - Yun-Chia Liang, Alice E. Smith
An ant system approach to redundancy allocation. 1478-1486
Operators
- Olivier François
Controlling mutation/selection algorithms with stochastic approximation. 1487-1493 - Thomas J. R. Stidsen
A parabolic operator for parameter optimization problems. 1494-1500 - Bryant A. Julstrom:
It's all the same to me: revisiting rank-based probabilities and tournaments. 1501-1505 - Hemanth K. Birru, Kumar Chellapilla, S. S. Rao:
Local search operators in fast evolutionary programming. 1506-1513 - Ko-Hsin Liang, Xin Yao
Combining landscape approximation and local search in global optimization. 1514-1520 - In-Soo Song, Hyun-Wook Woo, Min-Jea Tahk:
A genetic algorithm with a Mendel operator for global minimization. 1521-1526 - Martin Schmidt, Kim Kristensen, Thomas Randers Jensen:
Adding genetics to the standard PBIL algorithm. 1527-1534 - Khaled Rasheed:
Guided crossover: a new operator for genetic algorithm based optimization. 1535-1541 - Chilukuri K. Mohan:
Crossover operators that improve offspring fitness. 1542-1549 - Lars Hildebrand, Bernd Reusch, Madjid Fathi:
Directed mutation-a new self-adaptation for evolution strategies. 1550-1557 - Carlos Cotta
Stochastic reverse hill climbing and iterated local search. 1558-1565 - Thomas Bäck
Generalizations of intermediate recombination in evolution strategies. 1566-1573 - Forbes J. Burkowski:
Shuffle crossover and mutual information. 1574-1580 - Hajime Kita, Isao Ono, Shigenobu Kobayashi:
Multi-parental extension of the unimodal normal distribution crossover for real-coded genetic algorithms. 1581-1588 - Susana C. Esquivel, Héctor A. Leiva, Raúl Héctor Gallard:
Multiple crossovers between multiple parents to improve search in evolutionary algorithms. 1589-1594 - Goutam Chakraborty, Kayo Hoshi:
Rank based crossover-a new technique to improve the speed and quality of convergence in GA. 1595-1604
Coevolution
- Helio J. C. Barbosa:
A coevolutionary genetic algorithm for constrained optimization. 1605-1611 - Jürgen Schmidhuber:
Artificial curiosity based on discovering novel algorithmic predictability through coevolution. 1612-1618 - Franciszek Seredynski
Learning Nash equilibria by coevolving distributed classifier systems. 1619-1626 - Karsten Weicker
On the improvement of coevolutionary optimizers by learning variable interdependencies. 1627-1632 - Rasmus K. Ursem:
Multinational evolutionary algorithms. 1633-1640 - Michael Waters, John Sheppard
Genetic programming and co-evolution with exogenous fitness in an artificial life environment. 1641-1650
Cultural Algorithms
- Nestor Rychtyckyj, Robert G. Reynolds:
Using cultural algorithms to improve performance in semantic networks. 1651-1656 - David A. Ostrowski, Robert G. Reynolds:
Knowledge-based software testing agent using evolutionary learning with cultural algorithms. 1657-1663 - George S. Cowan, Robert G. Reynolds:
The Metrics Apprentice: using cultural algorithms to formulate quality metrics for software systems. 1664-1671 - Xidong Jin, Robert G. Reynolds:
Using knowledge-based evolutionary computation to solve nonlinear constraint optimization problems: a cultural algorithm approach. 1672-1678 - George S. Cowan, Robert G. Reynolds:
Learning to assess the quality of genetic programs using cultural algorithms. 1679-1688
Teaching Evolutionary Computation
- Riccardo Poli
Evolutionary computation teaching at Birmingham. 1689-1695 - Alice E. Smith
Experiences with teaching adaptive optimization to engineering graduate students. 1696-1701 - Zbigniew Michalewicz
Teaching evolutionary algorithms. 1702-1706 - Xin Yao
How does evolutionary computation fit into IT postgraduate teaching. 1707-1716
Agent Systems and Coevolution
- Kimitaka Uno, Akira Namatame:
An evolutionary design of the networks of mutual reliability. 1717-1723 - Paul J. Darwen
Co-evolutionary learning on noisy tasks. 1724-1731 - Jiming Liu, Jian-Bing Wu, Xun Lai:
Analytical and experimental results on multiagent cooperative behavior evolution. 1732-1739 - Gilles Énée
Classifier systems evolving multi-agent system with distributed elitism. 1740-1748
Breast Cancer
- David B. Fogel, Peter J. Angeline, V. William Porto, Eugene C. Wasson III, Edward M. Boughton:
Using evolutionary computation to learn about detecting breast cancer. 1749-1754 - Joseph Y. Lo
Application of artificial neural networks for diagnosis of breast cancer. 1755-1759 - Xin Yao
Neural networks for breast cancer diagnosis. 1760-1767 - Maryellen L. Giger
Artificial neural networks in breast cancer diagnosis: merging of computer-extracted features from breast images. 1768-1769 - Walker H. Land, Lewis Loren, Timothy Masters:
Investigation of and preliminary results for the solution of the inter-observer variability problem using fine needle aspirate (FNA) data. 1770-1780
Route and Network Planning
- James B. Grimbleby:
Hybrid genetic algorithms for analogue network synthesis. 1781-1787 - S. J. Moore, Mark C. Sinclair
Design of routing tables for a survivable military communications network using genetic algorithms. 1788-1795 - Jose L. Ceciliano, R. Nieva:
Transmission network planning using evolutionary programming. 1796-1803 - Sushil J. Louis, Xiangying Yin, Zhen Ya Yuan:
Multiple vehicle routing with time windows using genetic algorithms. 1804-1808 - Griselda Griselda Varela, Mark C. Sinclair
Ant colony optimisation for virtual-wavelength-path routing and wavelength allocation. 1809-1816 - Abdullah Konak
A hybrid genetic algorithm approach for backbone design of communication networks. 1817-1823 - Arlindo Silva
Building agents with memory: an approach using genetically programmed networks. 1824-1831 - Blazej Sawionek, Jacek Wojciechowski, Jaroslaw Arabas
Designing regular graphs with the use of evolutionary algorithms. 1832-1842
Dynamic Environments
- Krzysztof Trojanowski
Searching for optima in non-stationary environments. 1843-1850 - Stephen A. Stanhope, Jason M. Daida:
(1+1) genetic algorithm fitness dynamics in a changing environment. 1851-1858 - Alessio Gaspar, Philippe Collard:
From GAs to artificial immune systems: improving adaptation in time dependent optimization. 1859-1866 - Alessio Gaspar, Philippe Collard:
There is ALife beyond convergence: using a dual sharing to adapt in time dependent optimization. 1867-1874 - Jürgen Branke:
Memory enhanced evolutionary algorithms for changing optimization problems. 1875-1884
Fitness Distributions
- Kumar Chellapilla, David B. Fogel:
Fitness distributions in evolutionary computation: analysis of local extrema in the continuous domain. 1885-1892 - David A. Czarnecki:
Assessing operator effectiveness on finite state machines using fitness distributions. 1893-1901 - Christian Igel, Martin Kreutz:
Using fitness distributions to improve the evolution of learning structures. 1902-1909 - Leila Kallel, Bart Naudts, Marc Schoenauer
On functions with a given fitness-distance relation. 1910-1916 - Hemanth Kumar Birru:
Empirical study of two classes of bit variation operators in evolutionary computation. 1917-1926
Particle Swarm
- Russell C. Eberhart, Xiaohui Hu:
Human tremor analysis using particle swarm optimization. 1927-1930 - James Kennedy:
Small worlds and mega-minds: effects of neighborhood topology on particle swarm performance. 1931-1938 - Ender Ozcan
Particle swarm optimization: surfing the waves. 1939-1944 - Yuhui Shi, Russell C. Eberhart:
Empirical study of particle swarm optimization. 1945-1950 - Maurice Clerc:
The swarm and the queen: towards a deterministic and adaptive particle swarm optimization. 1951-1957 - Ponnuthurai N. Suganthan:
Particle swarm optimiser with neighbourhood operator. 1958-1964
Neural Networks
- Zhengjun Pan, Theo Sabisch, Rod Adams, Hamid Bolouri:
Staged training of Neocognitron by evolutionary algorithms. 1965-1972 - Frank Pasemann, Ulrich Steinmetz, Ulf Dieckmann:
Evolving structure and function of neurocontrollers. 1973-1978 - Hugo de Garis, Michael Korkin, Felix A. Gers, Michael Hough:
ATR's artificial brain (CAM-brain) project: a sample of what individual CoDi-1Bit model evolved neural net modules can do. 1979-1987 - Qiangfu Zhao, Mitsuyoshi Shirasaka:
A study on evolutionary design of binary decision trees. 1988-1993 - Jinn-Moon Yang
Incorporation family competition into Gaussian and Cauchy mutations to training neural networks using an evolutionary algorithm. 1994-2001 - Jie Si, Naiyao Zhang, Rilun Tang:
Modified fuzzy associative memory scheme using genetic algorithm. 2002-2006 - Vassilis P. Plagianakos, Michael N. Vrahatis:
Neural network training with constrained integer weights. 2007-2013 - Stephan K. Chalup
A study on hill climbing algorithms for neural network training. 2014-2021 - Pedro A. Castillo
G-Prop-II: global optimization of multilayer perceptrons using GAs. 2022-2030
Dynamic Fitness
- John J. Grefenstette:
Evolvability in dynamic fitness landscapes: a genetic algorithm approach. 2031-2038 - Karsten Weicker
On evolution strategy optimization in dynamic environments. 2039-2046 - Ronald W. Morrison, Kenneth A. De Jong:
A test problem generator for non-stationary environments. 2047-2053 - William C. Liles, Kenneth A. De Jong:
The usefulness of tag bits in changing environments. 2054-2062
Evolutionary Computation Methods
- Peter Merz, Bernd Freisleben
A comparison of memetic algorithms, tabu search, and ant colonies for the quadratic assignment problem. 2063-2070 - Ahmet Ugur, Michael Conrad:
Building evolution friendliness into cellular automaton dynamics: the cytomatrix neuron model. 2071-2077 - Alain Ratle:
Optimal sampling strategies for learning a fitness model. 2078-2085 - Wolfgang Kantschik, Peter Dittrich, Markus Brameier, Wolfgang Banzhaf:
Empirical analysis of different levels of meta-evolution. 2086-2093 - John Determan, James A. Foster
Using chaos in genetic algorithms. 2094-2101 - Stephen Chen
The GENIE is out! (Who needs fitness to evolve?). 2102-2108
Control Systems
- Y. J. Cao, Q. H. Wu:
Applying evolutionary programming to robust control systems design and analysis. 2109-2115 - Derek A. Linkens, Myasam F. Abbod
Genetic algorithms for controlling the fabrication control of optical interference rugate filters. 2116-2123 - Bahram Kimiaghalam, Abdollah Homaifar, Marwan Bikdash, Gerry V. Dozier:
Genetic algorithms solution for unconstrained optimal crane control. 2124-2130 - Russel J. Stonier:
Evolutionary learning of fuzzy logic controllers over a region of initial states. 2131-2138 - Baolin Wu, Xinghuo Yu
Evolutionary design of fuzzy gain scheduling controllers. 2139-2144 - Carlos Kavka
A fuzzy controller development tool based on evolutionary techniques. 2145-2150 - Jonghyeok Jeong, Se-Young Oh:
Automatic rule generation for fuzzy logic controllers using rule-level co-evolution of subpopulations. 2151-2158
Optimization
- Yung-Chien Lin, Feng-Sheng Wang, Kao-Shing Hwang
A hybrid method of evolutionary algorithms for mixed-integer nonlinear optimization problems. 2159-2166 - Martina Gorges-Schleuter, Ingo Sieber
Local interaction evolution strategies for design optimization. 2167-2174 - Martin J. Oates, David Corne, Roger J. Loader:
Investigation of a characteristic bimodal convergence-time/mutation-rate feature in evolutionary search. 2185-2182 - Craig A. Garrett, Junqi Huang, Mark N. Goltz, Gary B. Lamont:
Parallel real-valued genetic algorithms for bioremediation optimization of TCE-contaminated groundwater. 2183-2189 - Fulvio Corno
Optimizing deceptive functions with the SG-Clans algorithm. 2190-2198
Manufacturing Optimization
- Keshav P. Dahal, Chris J. Aldridge, James R. McDonald, Graeme M. Burt
A GA-based technique for the scheduling of storage tanks. 2199-2206 - Christos Dimopoulos
A genetic programming heuristic for the one-machine total tardiness problem. 2207-2214 - Tim Cranny, Terry Bossomaier, Llewylyn Sibley-Punnett:
Optimisation of layout for a problem in roofing with sheets. 2215-2220 - Jorng-Tzong Horng, Yu-Jan Chang, Baw-Jhiune Liu, Cheng-Yan Kao:
Materialized view selection using genetic algorithms in a data warehouse system. 2221-2230
Quantum Computing
- Ajit Narayanan:
Quantum computing for beginners. 2231-2238 - Lee Spector, Howard Barnum
Finding a better-than-classical quantum AND/OR algorithm using genetic programming. 2239-2246 - Anders Karlsson
Quantum cryptography-from single-photon transmission, key extraction methods to novel quantum information protocols. 2247-2254 - Lov K. Grover:
Quantum mechanical searching. 2255-2264
IE/OR Problems
- Mitsuo Gen, Yinzhen Li:
Spanning tree-based genetic algorithm for the bicriteria fixed charge transportation problem. 2265-2271 - Jong Ryul Kim, Mitsuo Gen:
Genetic algorithm for solving bicriteria network topology design problem. 2272-2279 - William Hernandez, Gürsel A. Süer:
Genetic algorithms in lot sizing decisions. 2280-2286 - Gürsel A. Süer, Ramón Vazquez, Miguel Cortes:
A hybrid approach of genetic algorithms and local optimizers in cell loading. 2287-2294 - Wen-Yang Lin:
Parallel sparse matrix ordering: quality improvement using genetic algorithms. 2295-2301 - Fabbryccio A. C. M. Cardoso
Genetic decoding of linear block codes. 2302-2309 - Jasmina Arifovic:
Genetic drift in tacit coordination games. 2310-2316
Hybrid Algorithms
- Jörg Denzinger
On cooperation between evolutionary algorithms and other search paradigms. 2317-2324 - Kiyoharu Tagawa, Kenji Kanesige, Katsumi Inoue
Distance based hybrid genetic algorithm: an application for the graph coloring problem. 2325-2332 - Oscar Castillo
A general method for automated simulation of non-linear dynamical systems using a new fuzzy-fractal-genetic approach. 2333-2340 - Hisao Ishibuchi
Designing compact fuzzy rule-based systems with default hierarchies for linguistic approximation. 2341-2348
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