Detail publikace

Multi-objective Self-organizing Migrating Algorithm

Originální název

Multi-objective Self-organizing Migrating Algorithm

Anglický název

Multi-objective Self-organizing Migrating Algorithm

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

BibTex


@inbook{BUT121957,
  author="Petr {Kadlec} and Zbyněk {Raida}",
  title="Multi-objective Self-organizing Migrating Algorithm",
  annote="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.",
  address="Springer International Publishing",
  booktitle="Self-Organizing Migrating Algorithm Methodology and Implementation",
  chapter="121957",
  doi="10.1007/978-3-319-28161-2_4",
  edition="Studies in Computational Intelligence",
  howpublished="online",
  institution="Springer International Publishing",
  year="2016",
  month="february",
  pages="83--103",
  publisher="Springer International Publishing",
  type="book chapter"
}