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ORCIDGenetic 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, Penousal Machado, Bernardete Ribeiro:
DENSER: deep evolutionary network structured representation. 5-35 - Eric Medvet, Alberto Bartoli, Andrea De Lorenzo, Fabiano Tarlao:
Designing automatically a representation for grammatical evolution. 37-65 - Zheng Yin, Anthony Brabazon, Conall O'Sullivan, Philip A. Hamill:
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, Rubén Salvador, Eduardo de la Torre:
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, Alessio Gaspar, R. Paul Wiegand, Jennifer L. Albert, Anthony Bucci, Amruth N. Kumar:
EvoParsons: design, implementation and preliminary evaluation of evolutionary Parsons puzzle. 213-244 - Takfarinas Saber, David Fagan, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill:
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, Diana E. Martinez Rodríguez, Uriel Haile Hernández Belmonte, Víctor Ayala-Ramírez:
A genetic programming framework in the automatic design of combination models for salient object detection. 285-325 - Jerry Swan, Krzysztof Krawiec, Zoltan A. Kocsis:
Stochastic synthesis of recursive functions made easy with bananas, lenses, envelopes and barbed wire. 327-350 - Perla Juárez-Smith, Leonardo Trujillo, Mario García Valdez, Francisco Fernández de Vega, Francisco Chávez de la O:
Local search in speciation-based bloat control for genetic programming. 351-384 - Roberto Santana, Luis Martí, Mengjie Zhang:
GP-based methods for domain adaptation: using brain decoding across subjects as a test-case. 385-411 - Lino Rodriguez-Coayahuitl, Alicia Morales-Reyes, Hugo Jair Escalante:
Evolving autoencoding structures through genetic programming. 413-440
Volume 20, Number 4, December 2019
- Matt Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman:
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, Benoit Baudry:
A journey among Java neutral program variants. 531-580
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