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Semantic approximation for reducing code bloat in Genetic Programming

  • Published:2020-11 Issue: Volume:58 Page:100729
  • ISSN:2210-6502
  • Container-title:Swarm and Evolutionary Computation
  • language:en
  • Short-container-title:Swarm and Evolutionary Computation

Author:

Nguyen Quang Uy,Chu Thi Huong

Funder

National Foundation for Science and Technology Development

Publisher

Elsevier BV

Subject

General Mathematics,General Computer Science

Reference53 articles.

1. Prune and plant: a new bloat control method for genetic programming;Alfaro-Cid,2008

2. Bloat control operators and diversity in genetic programming: a comparative study;Alfaro-Cid;Evol. Comput.,2010

3. UCI Machine Learning Repository;Bache,2013

4. Semantic analysis of program initialisation in genetic programming;Beadle;Genet. Program. Evolvable Mach.,2009

5. Semantically driven mutation in genetic programming;Beadle,2009

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2. A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press];Proceedings of the Genetic and Evolutionary Computation Conference Companion;2024-07-14

3. Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

4. On the Nature of the Phenotype in Tree Genetic Programming;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

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