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Jörg Lässig
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- affiliation: Hochschule Zittau/Görlitz, Görlitz, Germany
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2020 – today
- 2024
- [j13]Tianyu Liang, Zhize Wu, Jörg Lässig, Daan van den Berg, Sarah L. Thomson, Thomas Weise:
Addressing the traveling salesperson problem with frequency fitness assignment and hybrid algorithms. Soft Comput. 28(17-18): 9495-9508 (2024) - [c58]Daniel Müssig, Markus Wappler, Steve Lenk, Jörg Lässig:
Connecting the Hamiltonian structure to the QAOA performance and energy landscape. INFORMATIK 2024: 595-604 - [i10]Matthias Klusch, Jörg Lässig, Daniel Müssig, Antonio Macaluso, Frank K. Wilhelm:
Quantum Artificial Intelligence: A Brief Survey. CoRR abs/2408.10726 (2024) - 2023
- [j12]Thomas Weise
, Zhize Wu, Xinlu Li, Yan Chen
Frequency Fitness Assignment: Optimization Without Bias for Good Solutions Can Be Efficient. IEEE Trans. Evol. Comput. 27(4): 980-992 (2023) - [c57]Marika Federer, Steve Lenk, Daniel Müssig
Constrained Grover Adaptive Search for Optimization of the Bidirectional EV Charging Problem. GI-Jahrestagung 2023: 1121-1127 - [c56]Fanny Weidner, Laurenz Bischoff, Johannes Bätz, Robin Schöppach, Peter Meineke, Kevin Kambach, Jannick Mitsch, Andreas Motuzov, Martin Mieth, Andreas Schulz, Melissa Weidlich-Rau, Christian Roschke, Matthias Vodel, Alexander Thomas Kühn, Tobias Czauderna
A VR Office Applying Modern Search and Filter Concepts for Knowledge Workers. HCI (17) 2023: 101-113 - [c55]Falko Gawantka
Evaluation of XAI Methods in a FinTech Context. IWAIPR 2023: 143-154 - 2022
- [c54]Falko Gawantka
SkillDB - An Evaluation on the stability of XAI algorithms for a HR decision support system and the legal context. ICCI*CC 2022: 183-190 - [c53]Marika Federer, Daniel Müssig
Real-world application benchmark for QAOA algorithm for an electromobility use case. GI-Jahrestagung 2022: 1145-1151 - [c52]Volker Reers, Jörg Lässig:
A new Pattern for Quantum Evolutionary Algorithms. GI-Jahrestagung 2022: 1153-1162 - [c51]Maximilian Selch, Daniel Müssig
Influence Estimation In Multi-Step Process Chains Using Quantum Bayesian Networks. GI-Jahrestagung 2022: 1163-1173 - [c50]Daniel Müssig
Quantum Computer and Quantum Algorithm Benchmarking. GI-Jahrestagung 2022: 1175-1178 - [c49]Tianyu Liang, Zhize Wu, Jörg Lässig, Daan van den Berg, Thomas Weise:
Solving the Traveling Salesperson Problem using Frequency Fitness Assignment. SSCI 2022: 360-367 - 2021
- [i9]Thomas Weise, Zhize Wu, Xinlu Li, Yan Chen, Jörg Lässig:
Frequency Fitness Assignment: Optimization without a Bias for Good Solutions can be Efficient. CoRR abs/2112.00229 (2021) - 2020
- [j11]Thomas Weise, Markus Wagner
Special Issue on Benchmarking of Computational Intelligence Algorithms in the Applied Soft Computing Journal. Appl. Soft Comput. 93: 106502 (2020) - [j10]Jörg Lässig:
Angewandtes Quantencomputing. Inform. Spektrum 43(5): 347-351 (2020)
2010 – 2019
- 2018
- [c48]Markus Ullrich, Thomas Weise, Abhishek Awasthi, Jörg Lässig:
A generic problem instance generator for discrete optimization problems. GECCO (Companion) 2018: 1761-1768 - [c47]Robert Stricker, Daniel Müssig
Microservices for Redevelopment of Enterprise Information Systems and Business Processes Optimization. ICEIS (2) 2018: 719-726 - [c46]Markus Ullrich, Jörg Lässig, Jingtao Sun, Martin Gaedke
A Benchmark Model for the Creation of Compute Instance Performance Footprints. IDCS 2018: 221-234 - [c45]Sebastian Pape
Towards an Architecture for Pseudonymous E-Commerce - Applying Privacy by Design to Online Shopping. Sicherheit 2018: 17-28 - 2017
- [c44]Daniel Müssig
Highly Scalable Microservice-based Enterprise Architecture for Smart Ecosystems in Hybrid Cloud Environments. ICEIS (3) 2017: 454-459 - [c43]Markus Ullrich, Jörg Lässig, Kento Aida, Jingtao Sun, Tomoya Tanjo, Martin Gaedke
An application meta-model to support the execution and benchmarking of scientific applications in multi-cloud environments. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6 - 2016
- [j9]Thomas Weise, Yuezhong Wu, Raymond Chiong
Global versus local search: the impact of population sizes on evolutionary algorithm performance. J. Glob. Optim. 66(3): 511-534 (2016) - [c42]Abhishek Awasthi, Jörg Lässig, Thomas Weise, Oliver Kramer:
Tackling Common Due Window Problem with a Two-Layered Approach. COCOA 2016: 772-781 - [c41]Waheed Aslam Ghumman, Alexander Schill, Jörg Lässig:
The Flip-Flop SLA Negotiation Strategy Using Concession Extrapolation and 3D Utility Function. CIC 2016: 159-168 - [c40]Jens Heider, Jörg Lässig:
Convergent Infrastructures for Municipalities as Connecting Platform for Climate Applications. EnviroInfo (1) 2016: 311-320 - [c39]Markus Ullrich, Jörg Lässig, Martin Gaedke
Towards Efficient Resource Management in Cloud Computing: A Survey. FiCloud 2016: 170-177 - [c38]Adam Bartusiak, Jörg Lässig:
Semantic Processing for the Conversion of Unstructured Documents into Structured Information in the Enterprise Context. SEMANTiCS 2016: 125-128 - [c37]Abhishek Awasthi, Jörg Lässig, Jens Leuschner, Thomas Weise:
GPGPU-Based Parallel Algorithms for Scheduling Against Due Date. IPDPS Workshops 2016: 766-775 - [c36]Justin Heinermann, Jörg Lässig, Oliver Kramer:
Evolutionary Multi-objective Ensembles for Wind Power Prediction. DARE@PKDD/ECML 2016: 92-101 - [c35]Nico Schlitter, Markus Ullrich, Jörg Lässig:
Scalability and performance of the Privacy-Aware Classification method GenPAC. PST 2016: 376-383 - [c34]Andreas Schulz, Jörg Lässig, Martin Gaedke
Practical Web Data Extraction: Are We There Yet? - A Short Survey. WI 2016: 562-567 - [p3]Jörg Lässig:
Sustainable Development and Computing - An Introduction. Computational Sustainability 2016: 1-12 - [e1]Jörg Lässig, Kristian Kersting, Katharina Morik:
Computational Sustainability. Studies in Computational Intelligence 645, Springer 2016, ISBN 978-3-319-31856-1 [contents] - 2015
- [c33]Dan Xu, Thomas Weise, Yuezhong Wu, Jörg Lässig, Raymond Chiong
An Investigation of Hybrid Tabu Search for the Traveling Salesman Problem. BIC-TA 2015: 523-537 - [c32]Abhishek Awasthi, Jörg Lässig, Oliver Kramer:
Un-restricted Common Due-Date Problem with Controllable Processing Times - Linear Algorithm for a Given Job Sequence. ICEIS (1) 2015: 526-534 - 2014
- [j8]Christoph Goebel, Hans-Arno Jacobsen, Victor del Razo, Christoph Doblander, José Rivera, Jens P. Ilg, Christoph M. Flath
Energy Informatics - Current and Future Research Directions. Bus. Inf. Syst. Eng. 6(1): 25-31 (2014) - [j7]Thomas Weise, Raymond Chiong
Benchmarking Optimization Algorithms: An Open Source Framework for the Traveling Salesman Problem. IEEE Comput. Intell. Mag. 9(3): 40-52 (2014) - [j6]Jörg Lässig, Dirk Sudholt:
General Upper Bounds on the Runtime of Parallel Evolutionary Algorithms. Evol. Comput. 22(3): 405-437 (2014) - [j5]Nico Schlitter, Tanja Falkowski, Jörg Lässig:
DenGraph-HO: a density-based hierarchical graph clustering algorithm. Expert Syst. J. Knowl. Eng. 31(5): 469-479 (2014) - [j4]Jörg Lässig, Dirk Sudholt:
Analysis of speedups in parallel evolutionary algorithms and (1+λ) EAs for combinatorial optimization. Theor. Comput. Sci. 551: 66-83 (2014) - [j3]Christoph Goebel, Hans-Arno Jacobsen, Victor del Razo, Christoph Doblander, José Rivera, Jens P. Ilg, Christoph M. Flath
Energieinformatik - Aktuelle und zukünftige Forschungsschwerpunkte. Wirtschaftsinf. 56(1): 31-39 (2014) - [c31]Abhishek Awasthi, Jörg Lässig, Oliver Kramer, Thomas Weise:
Common Due-Window problem: Polynomial algorithms for a given processing sequence. CIPLS 2014: 32-39 - [c30]Yan Jiang, Thomas Weise, Jörg Lässig, Raymond Chiong
Comparing a hybrid branch and bound algorithm with evolutionary computation methods, local search and their hybrids on the TSP. CIPLS 2014: 148-155 - [c29]Jörg Lässig, Abhishek Awasthi, Oliver Kramer:
Common Due-Date Problem: Linear Algorithm for a Given Job Sequence. CSE 2014: 97-104 - [c28]Markus Will, Jörg Lässig, Daniel Tasche, Jens Heider:
Regional Carbon Footprinting for Municipalities and Cities. EnviroInfo 2014: 653-660 - [i8]Abhishek Awasthi, Jörg Lässig, Oliver Kramer:
A Novel Approach to the Common Due-Date Problem on Single and Parallel Machines. CoRR abs/1405.1234 (2014) - 2013
- [j2]Jörg Lässig, Dirk Sudholt:
Design and analysis of migration in parallel evolutionary algorithms. Soft Comput. 17(7): 1121-1144 (2013) - [c27]Waheed Aslam Ghumman, Jörg Lässig:
Verification Requirements for Secure and Reliable Cloud Computing. CGC 2013: 143-150 - [c26]Abhishek Awasthi, Oliver Kramer, Jörg Lässig:
Aircraft Landing Problem: An Efficient Algorithm for a Given Landing Sequence. CSE 2013: 20-27 - [c25]Jörg Lässig, Markus Ullrich:
Enterprise Application Integration - The Cloud Perspective. ICWE 2013: 522-525 - [c24]Markus Ullrich, Klaus ten Hagen, Jörg Lässig:
A data mining approach to reduce the number of maintenance visits in the medical domain. IDAACS 2013: 255-258 - [c23]Jens Heider, Daniel Tasche, Jörg Lässig, Markus Will:
A greenhouse gas accounting tool for regional and municipal climate change management. SustainIT 2013: 1-3 - [c22]Max Wielsch, Raik Bieniek, Bernd Grams, Jörg Lässig:
Dynamic integration of ALM tools for agile software development. SII 2013: 567-573 - [c21]Abhishek Awasthi, Jörg Lässig, Oliver Kramer:
Common Due-Date Problem: Exact Polynomial Algorithms for a Given Job Sequence. SYNASC 2013: 258-264 - [i7]Abhishek Awasthi, Jörg Lässig, Oliver Kramer:
Common Due-Date Problem: Exact Polynomial Algorithms for a Given Job Sequence. CoRR abs/1311.2879 (2013) - [i6]Abhishek Awasthi, Oliver Kramer, Jörg Lässig:
Aircraft Landing Problem: Efficient Algorithm for a Given Landing Sequence. CoRR abs/1311.2880 (2013) - [i5]Max Wielsch, Raik Bieniek, Bernd Grams, Jörg Lässig:
Dynamic Integration of ALM Tools for Agile Software Development. CoRR abs/1311.5587 (2013) - 2012
- [c20]Markus Ullrich, Klaus ten Hagen, Jörg Lässig:
Public Cloud Extension for Desktop Applications - Case Study of a Data Mining Solution. NCCA 2012: 53-64 - [c19]Nico Schlitter, Jörg Lässig:
Distributed Privacy Preserving Classification Based on Local Cluster Identifiers. TrustCom 2012: 1265-1272 - [p2]Jörg Lässig, Christian A. Hochmuth
Simulation-Based Evolutionary Optimization of Complex Multi-Location Inventory Models. Variants of Evolutionary Algorithms for Real-World Applications 2012: 95-141 - [i4]Jörg Lässig, Dirk Sudholt:
General Upper Bounds on the Running Time of Parallel Evolutionary Algorithms. CoRR abs/1206.3522 (2012) - 2011
- [c18]Jörg Lässig, Dirk Sudholt:
Adaptive population models for offspring populations and parallel evolutionary algorithms. FOGA 2011: 181-192 - [c17]Jörg Lässig, Dirk Sudholt:
Analysis of Speedups in Parallel Evolutionary Algorithms for Combinatorial Optimization - (Extended Abstract). ISAAC 2011: 405-414 - [c16]Jörg Lässig, Benjamin Satzger, Oliver Kramer:
Self-Stabilization in Hierarchically Structured Energy Markets. ITNG 2011: 803-809 - [c15]Jörg Lässig, Benjamin Satzger, Oliver Kramer:
Hierarchically Structured Energy Markets as Novel Smart Grid Control Approach. KI 2011: 179-190 - [c14]Nico Schlitter, Tanja Falkowski, Jörg Lässig:
DenGraph-HO: Density-based Hierarchical Community Detection for Explorative Visual Network Analysis. SGAI Conf. 2011: 283-296 - [p1]Christian A. Hochmuth
Optimizing Complex Multi-location Inventory Models Using Particle Swarm Optimization. Computational Optimization, Methods and Algorithms 2011: 101-124 - [i3]Jörg Lässig, Dirk Sudholt:
Adaptive Population Models for Offspring Populations and Parallel Evolutionary Algorithms. CoRR abs/1102.0588 (2011) - [i2]Jörg Lässig, Dirk Sudholt:
Analysis of Speedups in Parallel Evolutionary Algorithms for Combinatorial Optimization. CoRR abs/1109.1766 (2011) - 2010
- [j1]Jörg Lässig:
Analysis and Efficiency of Randomized Optimization Heuristics (Analyse und Effizienz randomisierter Optimierungsheuristiken). it Inf. Technol. 52(6): 345-349 (2010) - [c13]Jörg Lässig, Dirk Sudholt:
The benefit of migration in parallel evolutionary algorithms. GECCO 2010: 1105-1112 - [c12]Oliver Kramer, Benjamin Satzger, Jörg Lässig:
Managing Energy in a Virtual Power Plant Using Learning Classifier Systems. GEM 2010: 111-117 - [c11]Oliver Kramer, Benjamin Satzger, Jörg Lässig:
Power Prediction in Smart Grids with Evolutionary Local Kernel Regression. HAIS (1) 2010: 262-269 - [c10]Benjamin Satzger, Oliver Kramer, Jörg Lässig:
Adaptive Heuristic Estimates for Automated Planning Using Regression. IC-AI 2010: 576-581 - [c9]Jörg Lässig, Ullrich Trommler:
New Approaches to Enterprise Cooperation Generation and Management. ICEIS (2) 2010: 350-359 - [c8]Jörg Lässig, Dirk Sudholt:
Experimental Supplements to the Theoretical Analysis of Migration in the Island Model. PPSN (1) 2010: 224-233 - [c7]Jörg Lässig, Dirk Sudholt:
General Scheme for Analyzing Running Times of Parallel Evolutionary Algorithms. PPSN (1) 2010: 234-243
2000 – 2009
- 2009
- [c6]Jörg Lässig, Steffen Heinrich, Holger Dürr:
Intelligent Support System for Enterprise Cooperation Management. IICAI 2009: 1626-1645 - [c5]Jörg Lässig, Karl-Heinz Hoffmann:
On the Structure of a Best Possible Crossover Selection Strategy in Genetic Algorithms. SGAI Conf. 2009: 263-276 - 2008
- [c4]Stefanie Thiem
Merging Groups for the Exploration of Complex State Spaces in the CPSO Approach. ANTS Conference 2008: 355-362 - [c3]Jörg Lässig, Karl-Heinz Hoffmann, Mihaela Enachescu:
Threshold selecting: best possible probability distribution for crossover selection in genetic algorithms. GECCO (Companion) 2008: 2181-2186 - 2007
- [c2]Jörg Lässig, Steffen Heinrich, Holger Dürr:
Generation of SME Production and Logistics Networks with Extremal Optimization and Fitness Threshold Accepting. Artificial Intelligence and Pattern Recognition 2007: 313-319 - [c1]Jörg Lässig:
Cross Company Resource and Time Assignment in a Combinatorial Auction Scenario. IICAI 2007: 743-762 - 2005
- [i1]Steffen Heinrich, Holger Dürr, T. Hanel, Jörg Lässig:
An Agent-based Manufacturing Management System for Production and Logistics within Cross-Company Regional and National Production Networks. CoRR abs/cs/0511068 (2005)
Coauthor Index
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