TY - GEN
T1 - Application of self-adaptive method in multi-objective harmony search algorithm
AU - Choi, Young Hwan
AU - Lee, Ho Min
AU - Yoo, Do Guen
AU - Kim, Joong Hoon
N1 - Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2017.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017
Y1 - 2017
N2 - 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 Selfadaptive 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.
AB - 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 Selfadaptive 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.
KW - Harmony search algorithm
KW - Parameter-setting-free method
KW - Self-adaptive method
UR - http://www.scopus.com/inward/record.url?scp=85012146167&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85012146167&partnerID=8YFLogxK
U2 - 10.1007/978-981-10-3728-3_3
DO - 10.1007/978-981-10-3728-3_3
M3 - Conference contribution
AN - SCOPUS:85012146167
SN - 9789811037276
T3 - Advances in Intelligent Systems and Computing
SP - 15
EP - 21
BT - Harmony Search Algorithm - Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017)
A2 - Del Ser, Javier
PB - Springer Verlag
T2 - Proceedings of the 3rd International Conference on Harmony Search Algorithm, ICHSA 2017
Y2 - 22 February 2017 through 24 February 2017
ER -