default search action
Genetic Programming and Evolvable Machines, Volume 20
Volume 20, Number 1, March 2019
- Lee Spector:
Editorial introduction. 1-2 - Lee Spector:
Acknowledgment to reviewers. 3-4 - Filipe Assunção
, Nuno Lourenço
DENSER: deep evolutionary network structured representation. 5-35 - Eric Medvet
Designing automatically a representation for grammatical evolution. 37-65 - Zheng Yin
A genetic programming approach for delta hedging. 67-92 - Jeff Heaton
Evolving continuous cellular automata for aesthetic objectives. 93-125 - Jason H. Moore, Randal S. Olson, Yong Chen, Moshe Sipper
Automated discovery of test statistics using genetic programming. 127-137 - Jinhan Kim, Shin Yoo:
Software review: DEAP (Distributed Evolutionary Algorithm in Python) library. 139-142 - Pablo García-Sánchez:
Georgios N. Yannakakis and Julian Togelius: Artificial Intelligence and Games - Springer, 2018, Print ISBN: 978-3-319-63518-7, Online ISBN: 978-3-319-63519-4, https: //doi.org/10.1007/978-3-319-63519-4. 143-145 - Kelly Androutsopoulos:
Evelyne Lutton, Nathalie Perrot, Alberto Tonda: Evolutionary algorithms for food science and technology - Wiley, 2016, 182 pp, ISBN: 978-1-119-13683-5. 147-149
Volume 20, Number 2, June 2019
- Petra Vidnerová
Hitoshi Iba: Evolutionary approach to machine learning and deep neural networks: neuro-evolution and gene regulatory networks - Springer, 2018, Hardcover, 245 pp, ISBN: 978-981-13-0199-5. 151-153 - Javier Mora
On the scalability of evolvable hardware architectures: comparison of systolic array and Cartesian genetic programming. 155-186 - Sayan Nag:
Vector quantization using the improved differential evolution algorithm for image compression. 187-212 - A. T. M. Golam Bari
EvoParsons: design, implementation and preliminary evaluation of evolutionary Parsons puzzle. 213-244 - Takfarinas Saber
A multi-level grammar approach to grammar-guided genetic programming: the case of scheduling in heterogeneous networks. 245-283
Volume 20, Number 3, September 2019
- Marco A. Contreras-Cruz
A genetic programming framework in the automatic design of combination models for salient object detection. 285-325 - Jerry Swan, Krzysztof Krawiec
Stochastic synthesis of recursive functions made easy with bananas, lenses, envelopes and barbed wire. 327-350 - Perla Juárez-Smith, Leonardo Trujillo
Local search in speciation-based bloat control for genetic programming. 351-384 - Roberto Santana
GP-based methods for domain adaptation: using brain decoding across subjects as a test-case. 385-411 - Lino Rodriguez-Coayahuitl
Evolving autoencoding structures through genetic programming. 413-440
Volume 20, Number 4, December 2019
- Matt Ryerkerk
A survey of evolutionary algorithms using metameric representations. 441-478 - Viet-Hung Dang, Ngo Anh Vien, TaeChoong Chung:
A covariance matrix adaptation evolution strategy in reproducing kernel Hilbert space. 479-501 - Chenye Qiu
A novel multi-swarm particle swarm optimization for feature selection. 503-529 - Nicolas Harrand, Simon Allier, Marcelino Rodriguez-Cancio, Martin Monperrus
A journey among Java neutral program variants. 531-580
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-10-31 20:04 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: