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Publication detail
Viktor Otevřel, Zbyněk Raida
Original Title
Mean-adaptive Real-coding Genetic Algorithm and its Applications to Electromagnetic Optimization (Part One)
Type
journal article - other
Language
English
Original Abstract
In the paper, a novel instance of the real-coding steady-state genetic algorithm, called the Mean-adaptive real-coding genetic algorithm, is put forward. In this instance, three novel implementations of evolution operators are incorporated. Those are a recombination and two mutation operators. All of the evolution operators are designed with the aim of possessing a big explorative power. Moreover, one of the mutation operators exhibits self-adaptive behavior and the other exhibits adaptive behavior, thereby allowing the algorithm to self-control its own mutability as the search advances. This algorithm also takes advantage of population-elitist selection, acting as a replacement policy, being adopted from evolution strategies. The purpose of this paper (i.e., the first part) is to provide theoretical foundations of a robust, advanced and widely applicable instance of the real-coding genetic algorithm having a big potential of being successfully applied to electromagnetic optimization.
Keywords
Real-coding genetic optimization, Mean-adaptive real-coding genetic algorithm, mean-adaptive mutation, Gaussian mutation with step size control based upon the viability of produced mutants, uniform-wise crossover, population-elitist selection.
Authors
RIV year
2007
Released
1. 6. 2007
ISBN
1210-2512
Periodical
Radioengineering
Year of study
16
Number
3
State
Czech Republic
Pages from
9
Pages to
18
Pages count
10
URL
http://www.radioeng.cz
BibTex
@article{BUT45244, author="Viktor {Otevřel} and Zbyněk {Raida}", title="Mean-adaptive Real-coding Genetic Algorithm and its Applications to Electromagnetic Optimization (Part One)", journal="Radioengineering", year="2007", volume="16", number="3", pages="10", issn="1210-2512", url="http://www.radioeng.cz" }