Detail výsledku
Multi-objective Self-organizing Migrating Algorithm
Raida Zbyněk, prof. Dr. Ing., UREL (FEKT)
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.
MOSOMA, Multiobjective Optimization, Design, Electromagnetics
@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"
}