Genetic Programming

24th European Conference, EuroGP 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings

AvTing Hu,Nuno Lourenço

Häftad, Engelska, 2021

Del 12691 i serien Lecture Notes in Computer Science

554 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

This book constitutes the refereed proceedings of the 24th European Conference on Genetic Programming, EuroGP 2021, held as part of Evo*2021, as Virtual Event, in April 2021, co-located with the Evo*2021 events, EvoCOP, EvoMUSART, and EvoApplications.

Produktinformation

Utgivningsdatum:2021-03-25
Mått:155 x 235 x 16 mm
Vikt:446 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:281
Förlag:Springer Nature Switzerland AG
ISBN:9783030728113

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT
Tillämpad datateknik inom Data och IT

Innehållsförteckning

Quality Diversity Genetic Programming for Learning Decision Tree Ensembles.- Progressive Insular Cooperative GP.- Regenerating Soft Robots through Neural Cellular Automata.- Inclusive Genetic Programming.- Towards incorporating Human Knowledge in Fuzzy Pattern Tree Evolution.- Evolutionary Neural Architecture Search Supporting Approximate Multipliers.- Automatic design of deep neural networks applied to image segmentation problems.- On the Influence of Grammars on Crossover in Grammatical Evolution.- On the Generalizability of Programs Synthesized by Grammar-Guided Genetic Programming.- Evolution of Complex Combinational Logic Circuits Using Grammatical Evolution with SystemVerilog.- Evofficient: Reproducing a Cartesian Genetic Programming Method.- Software Anti-patterns Detection Under Uncertainty Using A Possibilistic Evolutionary Approach.- Probabilistic Grammatical Evolution.- Evolving allocation rules for beam search heuristics in assembly line balancing.- Incremental Evaluation of Genetic Programming.- Mining Feature Relationships in Data.- Getting a Head Start on Program Synthesis with Genetic Programming.