KU battle of metaheuristic optimization algorithms 2: Performance test

Joong Hoon Kim; Young Hwan Choi; Thi Thuy Ngo; Jiho Choi; Ho Min Lee; Yeon Moon Choo; Eui Hoon Lee; Do Guen Yoo; Ali Sadollah; Donghwi Jung

doi:10.1007/978-3-662-47926-1_20

KU battle of metaheuristic optimization algorithms 2: Performance test

Joong Hoon Kim, Young Hwan Choi, Thi Thuy Ngo, Jiho Choi, Ho Min Lee, Yeon Moon Choo, Eui Hoon Lee, Do Guen Yoo, Ali Sadollah, Donghwi Jung

School of Civil, Environmental and Architectural Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

In the previous companion paper, six new/improved metaheuristic optimization algorithms developed by members of Hydrosystem laboratory in Korea University (KU) are introduced. The six algorithms are Cancer Treatment Algorithm (CTA), Extraordinary Particle Swarm Optimization (EPSO), Improved Cluster HS (ICHS), Multi-Layered HS (MLHS), Sheep Shepherding Algorithm (SSA), and Vision Correction Algorithm (VCA). The six algorithms are tested and compared through six well-known unconstrained benchmark functions and a pipe sizing problem of water distribution network. Performance measures such as mean, best, and worst solutions (under given maximum number of function evaluations) are used for the comparison. Optimization results are obtained from thirty independent optimization trials. Obtained Results show that some of the newly developed/improved algorithms show superior performance with respect to mean, best, and worst solutions when compared to other existing algorithms.

Original language	English
Title of host publication	Advances in Intelligent Systems and Computing
Publisher	Springer Verlag
Pages	207-213
Number of pages	7
Volume	382
ISBN (Print)	9783662479254
DOIs	https://doi.org/10.1007/978-3-662-47926-1_20
Publication status	Published - 2016
Event	2nd International Conference on Harmony Search Algorithm, ICHSA 2015 - Seoul, Korea, Republic of Duration: 2015 Aug 19 → 2015 Aug 21

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	382
ISSN (Print)	21945357

Other

Other	2nd International Conference on Harmony Search Algorithm, ICHSA 2015
Country	Korea, Republic of
City	Seoul
Period	15/8/19 → 15/8/21

Keywords

Cancer treatment algorithm
Extraordinary particle swarm optimization
Improved cluster HS
Multi-Layered HS
Sheep shepherding algorithm
Vision correction algorithm

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science(all)

Access to Document

10.1007/978-3-662-47926-1_20

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Cite this

Kim, J. H., Choi, Y. H., Ngo, T. T., Choi, J., Lee, H. M., Choo, Y. M., Lee, E. H., Yoo, D. G., Sadollah, A., & Jung, D. (2016). KU battle of metaheuristic optimization algorithms 2: Performance test. In Advances in Intelligent Systems and Computing (Vol. 382, pp. 207-213). (Advances in Intelligent Systems and Computing; Vol. 382). Springer Verlag. https://doi.org/10.1007/978-3-662-47926-1_20

KU battle of metaheuristic optimization algorithms 2 : Performance test. / Kim, Joong Hoon; Choi, Young Hwan; Ngo, Thi Thuy; Choi, Jiho; Lee, Ho Min; Choo, Yeon Moon; Lee, Eui Hoon; Yoo, Do Guen; Sadollah, Ali; Jung, Donghwi.

Advances in Intelligent Systems and Computing. Vol. 382 Springer Verlag, 2016. p. 207-213 (Advances in Intelligent Systems and Computing; Vol. 382).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kim, JH, Choi, YH, Ngo, TT, Choi, J, Lee, HM, Choo, YM, Lee, EH, Yoo, DG, Sadollah, A & Jung, D 2016, KU battle of metaheuristic optimization algorithms 2: Performance test. in Advances in Intelligent Systems and Computing. vol. 382, Advances in Intelligent Systems and Computing, vol. 382, Springer Verlag, pp. 207-213, 2nd International Conference on Harmony Search Algorithm, ICHSA 2015, Seoul, Korea, Republic of, 15/8/19. https://doi.org/10.1007/978-3-662-47926-1_20

Kim, Joong Hoon ; Choi, Young Hwan ; Ngo, Thi Thuy ; Choi, Jiho ; Lee, Ho Min ; Choo, Yeon Moon ; Lee, Eui Hoon ; Yoo, Do Guen ; Sadollah, Ali ; Jung, Donghwi. / KU battle of metaheuristic optimization algorithms 2 : Performance test. Advances in Intelligent Systems and Computing. Vol. 382 Springer Verlag, 2016. pp. 207-213 (Advances in Intelligent Systems and Computing).

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