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2017 | OriginalPaper | Buchkapitel

Application of Self-adaptive Method in Multi-objective Harmony Search Algorithm

verfasst von : Young Hwan Choi, Ho Min Lee, Do Guen Yoo, Joong Hoon Kim

Erschienen in: Harmony Search Algorithm

Verlag: Springer Singapore

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Abstract

The Harmony Search algorithm (HSA) is inspired by musical improvisation process searching for a perfect state of harmony. Although many variants have been released and increasing number of applications have appeared, selecting suitable parameter values for the optimization algorithm is not an easy task. To overcome the difficulty, many researchers developed skillful parameter-setting methods for the algorithm parameters such as Parameter-setting-Free methods and Self-adaptive methods. These methods have been applied in various research areas (e.g., mathematics, civil engineering, mechanic engineering, and economics) and considered different formulations for solving their problems. This study applies Self-adaptive methods in the multi-objective HSA framework to solve an engineering problem (i.e., water distribution network design). It can be efficiently applied to the search for Pareto optimal solutions in the multi-objective solution space.

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Vorheriges Kapitel Multi-layered Harmony Search Algorithm: Introduction of a Novel and Efficient Structure

Nächstes Kapitel A Comparative Study of Exploration Ability of Harmony Search Algorithms

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Titel: Application of Self-adaptive Method in Multi-objective Harmony Search Algorithm
verfasst von: Young Hwan Choi
Ho Min Lee
Do Guen Yoo
Joong Hoon Kim
Verlag: Springer Singapore
Buch: Harmony Search Algorithm
Print ISBN: 978-981-10-3727-6

Electronic ISBN: 978-981-10-3728-3

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-981-10-3728-3_3

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