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KADLEC, P.; RAIDA, Z.
Original Title
Multi-objective Self-organizing Migrating Algorithm
English Title
Type
Chapter in a book
Original Abstract
Almost every optimization problem can be viewed as multi-objective one. Multi-objective problems with conflicting objectives lead to so called Pareto front which expresses trade-off among the objectives. Multi-objective techniques yield better understanding of the solved problem because resulting Pareto front expresses the balance between different objectives. In this chapter, fundamentals of multi-objective optimization are reviewed. Then, multi-objective optimization technique based on principle of self-organizing migration is described. The proposed method is able to solve unconstrained, constrained problems having any number of variables and objectives. The method is designed to find so called non-dominated set that covers the true Pareto front uniformly.
English abstract
Keywords
MOSOMA, Multiobjective Optimization, Design, Electromagnetics
Key words in English
Authors
RIV year
2017
Released
09.02.2016
Publisher
Springer International Publishing
ISBN
978-3-319-28161-2
Book
Self-Organizing Migrating Algorithm Methodology and Implementation
Edition
Studies in Computational Intelligence
Pages from
83
Pages to
103
Pages count
21
URL
http://link.springer.com/chapter/10.1007/978-3-319-28161-2_4
BibTex
@inbook{BUT121957, author="Petr {Kadlec} and Zbyněk {Raida}", title="Multi-objective Self-organizing Migrating Algorithm", booktitle="Self-Organizing Migrating Algorithm Methodology and Implementation", year="2016", publisher="Springer International Publishing", series="Studies in Computational Intelligence", pages="83--103", doi="10.1007/978-3-319-28161-2\{_}4", isbn="978-3-319-28161-2", url="http://link.springer.com/chapter/10.1007/978-3-319-28161-2_4" }
Documents
121957