Multi-objective Self-organizing Migrating Algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU117913" target="_blank" >RIV/00216305:26220/16:PU117913 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-319-28161-2_4" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-28161-2_4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-28161-2_4" target="_blank" >10.1007/978-3-319-28161-2_4</a>
Alternative languages
Result language
angličtina
Original language name
Multi-objective Self-organizing Migrating Algorithm
Original language description
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.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LO1401" target="_blank" >LO1401: Interdisciplinary Research of Wireless Technologies</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Self-Organizing Migrating Algorithm Methodology and Implementation
ISBN
978-3-319-28161-2
Number of pages of the result
21
Pages from-to
83-103
Number of pages of the book
289
Publisher name
Springer International Publishing
Place of publication
Neuveden
UT code for WoS chapter
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