Genetic Programming and Evolvable Machines
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Is the evolution metaphor still necessary or even useful for genetic programming?
Genetic Programming and Evolvable Machines - Tập 24 Số 2 - 2023
Genetic programming incorporating biased mutation for evolution and adaptation of Snakebot
Genetic Programming and Evolvable Machines - Tập 8 - Trang 39-59 - 2006
In this work we propose an approach for incorporating learning probabilistic context-sensitive grammar (LPCSG) in genetic programming (GP), employed for evolution and adaptation of locomotion gaits of a simulated snake-like robot (Snakebot). Our approach is derived from the original context-free grammar which usually expresses the syntax of genetic programs in canonical GP. Empirically obtained re...... hiện toàn bộ
Evolutionary hyper-heuristics for tackling bi-objective 2D bin packing problems
Genetic Programming and Evolvable Machines - Tập 19 - Trang 151-181 - 2017
In this article, a multi-objective evolutionary framework to build selection hyper-heuristics for solving instances of the 2D bin packing problem is presented. The approach consists of a multi-objective evolutionary learning process, using specific tailored genetic operators, to produce sets of variable length rules representing hyper-heuristics. Each hyper-heuristic builds a solution to a given p...... hiện toàn bộ
Genetic programming and evolvable machines at 20
Genetic Programming and Evolvable Machines - Tập 21 - Trang 205-217 - 2019
The journal and in particular the resource reviews have been running for 20 years. We summarise the GP literature, including top papers and authors, as seen by users of the genetic programming bibliography. Then revisit our original goals for GPEM book reviews and compare them with what has achieved.
GPML: an XML-based standard for the interchange of genetic programming trees
Genetic Programming and Evolvable Machines - Tập 21 - Trang 605-627 - 2019
We propose a genetic programming markup language (GPML), an XML-based standard for the interchange of genetic programming trees, and outline the benefits such a format would bring in allowing the deployment of trained genetic programming (GP) models in applications as well as the subsidiary benefit of allowing GP researchers to directly share trained trees. We present a formal definition of this s...... hiện toàn bộ
Grammar-based generation of variable-selection heuristics for constraint satisfaction problems
Genetic Programming and Evolvable Machines - Tập 17 - Trang 119-144 - 2015
We propose a grammar-based genetic programming framework that generates variable-selection heuristics for solving constraint satisfaction problems. This approach can be considered as a generation hyper-heuristic. A grammar to express heuristics is extracted from successful human-designed variable-selection heuristics. The search is performed on the derivation sequences of this grammar using a stro...... hiện toàn bộ
An automatic solver for very large jigsaw puzzles using genetic algorithms
Genetic Programming and Evolvable Machines - - 2016
Evolutionary morphogenesis for multi-cellular systems
Genetic Programming and Evolvable Machines - Tập 8 - Trang 61-96 - 2006
With a gene required for each phenotypic trait, direct genetic encodings may show poor scalability to increasing phenotype length. Developmental systems may alleviate this problem by providing more efficient indirect genotype to phenotype mappings. A novel classification of multi-cellular developmental systems in evolvable hardware is introduced. It shows a category of developmental systems that u...... hiện toàn bộ
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