Genetic Programming by Ting Hu

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Summary

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.

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Genetic Programming by Ting Hu

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.
SKU Unavailable
ISBN 13 9783030728113
ISBN 10 3030728110
Title Genetic Programming
Author Ting Hu
Series Lecture Notes In Computer Science
Condition Unavailable
Binding Type Paperback
Publisher Springer Nature Switzerland AG
Year published 2021-03-25
Number of pages 281
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.