Automated Design of Probability Distributions as Mutation Operators for Evolutionary Programming Using Genetic Programming

Libin Hong; John R. Woodward; Jingpeng Li; Ender Özcan

doi:10.1007/978-3-642-37207-0_8

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Automated Design of Probability Distributions as Mutation Operators for Evolutionary Programming Using Genetic Programming

Libin Hong John R. Woodward Jingpeng Li Ender Özcan

Year: 2013 Lecture notes in computer science Pages: 85-96 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-37207-0_8

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Keywords:

Genetic programming Cauchy distribution Mutation Operator (biology) Probability distribution Computer science Gaussian Function (biology) Evolutionary algorithm Mathematical optimization Generator (circuit theory) Mathematics Algorithm Artificial intelligence Statistics Power (physics)

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Evolutionary Algorithms and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Automated Design of Probability Distributions as Mutation Operators for Evolutionary Programming Using Genetic Programming

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