TY - GEN
T1 - Chameleon Swarm Algorithm Enhanced by Differential Evolution
AU - Cai, Pengxing
AU - Zhang, Yu
AU - Tang, Zheng
AU - Gao, Shangce
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The chameleon swarm algorithm (CSA) is a novel meta-heuristic algorithm for solving unconstrained optimization problems. CSA simulates the dynamic behavior of chameleon foraging method to design optimization mechanism, which performs excellent in function optimization. Differential evolution (DE) is an effective and classical stochastic direct search method based on evolutionary strategies, its operators have good convergence. In this paper, the excellent exploration ability of CSA and outstanding convergence speed of DE are taken into consideration. We ingeniously incorporate the differential evolution operator into CSA, and propose hybrid CSADE to solve 30 benchmark optimization functions. To testify the effectiveness of proposed CSADE, we utilize 29 benchmark functions on CEC 2017 to conduct experiments. Through the analysis of statistical results for many experiments, CSADE outperforms selected state-of-the-art algorithms.
AB - The chameleon swarm algorithm (CSA) is a novel meta-heuristic algorithm for solving unconstrained optimization problems. CSA simulates the dynamic behavior of chameleon foraging method to design optimization mechanism, which performs excellent in function optimization. Differential evolution (DE) is an effective and classical stochastic direct search method based on evolutionary strategies, its operators have good convergence. In this paper, the excellent exploration ability of CSA and outstanding convergence speed of DE are taken into consideration. We ingeniously incorporate the differential evolution operator into CSA, and propose hybrid CSADE to solve 30 benchmark optimization functions. To testify the effectiveness of proposed CSADE, we utilize 29 benchmark functions on CEC 2017 to conduct experiments. Through the analysis of statistical results for many experiments, CSADE outperforms selected state-of-the-art algorithms.
KW - Meta-heuristic algorithm
KW - chameleon swarm algorithm
KW - differential evolution
KW - function optimization
UR - http://www.scopus.com/inward/record.url?scp=85146728853&partnerID=8YFLogxK
U2 - 10.1109/SCISISIS55246.2022.10002004
DO - 10.1109/SCISISIS55246.2022.10002004
M3 - 会議への寄与
AN - SCOPUS:85146728853
T3 - 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022
BT - 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022
Y2 - 29 November 2022 through 2 December 2022
ER -