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Publication search results
found 24 matches
- 2019
- 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. Genet. Program. Evolvable Mach. 20(1): 147-149 (2019) - Filipe Assunção
, Nuno Lourenço
, Penousal Machado, Bernardete Ribeiro
:
DENSER: deep evolutionary network structured representation. Genet. Program. Evolvable Mach. 20(1): 5-35 (2019) - 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. Genet. Program. Evolvable Mach. 20(2): 213-244 (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. Genet. Program. Evolvable Mach. 20(3): 285-325 (2019) - Viet-Hung Dang, Ngo Anh Vien, TaeChoong Chung:
A covariance matrix adaptation evolution strategy in reproducing kernel Hilbert space. Genet. Program. Evolvable Mach. 20(4): 479-501 (2019) - 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. Genet. Program. Evolvable Mach. 20(1): 143-145 (2019) - Nicolas Harrand, Simon Allier, Marcelino Rodriguez-Cancio, Martin Monperrus
, Benoit Baudry
:
A journey among Java neutral program variants. Genet. Program. Evolvable Mach. 20(4): 531-580 (2019) - Jeff Heaton
:
Evolving continuous cellular automata for aesthetic objectives. Genet. Program. Evolvable Mach. 20(1): 93-125 (2019) - 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. Genet. Program. Evolvable Mach. 20(3): 351-384 (2019) - Jinhan Kim, Shin Yoo:
Software review: DEAP (Distributed Evolutionary Algorithm in Python) library. Genet. Program. Evolvable Mach. 20(1): 139-142 (2019) - Eric Medvet
, Alberto Bartoli, Andrea De Lorenzo
, Fabiano Tarlao:
Designing automatically a representation for grammatical evolution. Genet. Program. Evolvable Mach. 20(1): 37-65 (2019) - Jason H. Moore, Randal S. Olson, Yong Chen, Moshe Sipper
:
Automated discovery of test statistics using genetic programming. Genet. Program. Evolvable Mach. 20(1): 127-137 (2019) - Javier Mora
, Rubén Salvador
, Eduardo de la Torre
:
On the scalability of evolvable hardware architectures: comparison of systolic array and Cartesian genetic programming. Genet. Program. Evolvable Mach. 20(2): 155-186 (2019) - Sayan Nag:
Vector quantization using the improved differential evolution algorithm for image compression. Genet. Program. Evolvable Mach. 20(2): 187-212 (2019) - Chenye Qiu
:
A novel multi-swarm particle swarm optimization for feature selection. Genet. Program. Evolvable Mach. 20(4): 503-529 (2019) - Lino Rodriguez-Coayahuitl
, Alicia Morales-Reyes, Hugo Jair Escalante:
Evolving autoencoding structures through genetic programming. Genet. Program. Evolvable Mach. 20(3): 413-440 (2019) - Matt Ryerkerk
, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman
:
A survey of evolutionary algorithms using metameric representations. Genet. Program. Evolvable Mach. 20(4): 441-478 (2019) - 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. Genet. Program. Evolvable Mach. 20(2): 245-283 (2019) - Roberto Santana
, Luis Martí, Mengjie Zhang:
GP-based methods for domain adaptation: using brain decoding across subjects as a test-case. Genet. Program. Evolvable Mach. 20(3): 385-411 (2019) - Lee Spector:
Editorial introduction. Genet. Program. Evolvable Mach. 20(1): 1-2 (2019) - Lee Spector:
Acknowledgment to reviewers. Genet. Program. Evolvable Mach. 20(1): 3-4 (2019) - Jerry Swan, Krzysztof Krawiec
, Zoltan A. Kocsis:
Stochastic synthesis of recursive functions made easy with bananas, lenses, envelopes and barbed wire. Genet. Program. Evolvable Mach. 20(3): 327-350 (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. Genet. Program. Evolvable Mach. 20(2): 151-153 (2019) - Zheng Yin
, Anthony Brabazon
, Conall O'Sullivan, Philip A. Hamill
:
A genetic programming approach for delta hedging. Genet. Program. Evolvable Mach. 20(1): 67-92 (2019)
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