caa a22 4500 605469601 CHVBK 20210128100323.0 cr unu---uuuuu 210128e20151001xx s 000 0 eng 10.1007/s00500-014-1463-x doi (NATIONALLICENCE)springer-10.1007/s00500-014-1463-x Advanced discussion mechanism-based brain storm optimization algorithm [Elektronische Daten] [Yuting Yang, Yuhui Shi, Shunren Xia] Evolutionary computation-based algorithms are successfully developed to handle challenges in optimization problems by applying the analogy to biological systems. We aim at designing advanced optimization algorithms, with inspiration from human's creative problem-solving strategies. In this paper, we proposed an advanced discussion mechanism-based brain storm optimization (ADMBSO) algorithm, pushing forward our study in the incorporation of inter- and intra-cluster discussions into the brain storm optimization algorithm (BSO) to control global and local searching ability, respectively. In the advanced discussion mechanism, elaborately designed inter- and intra-cluster discussions were alternatively performed throughout the optimization process, with the ratio controlled by a linearly adjusted probability. We further introduced a differential step strategy into the workflow, making ADMBSO a more efficient and more adaptive algorithm. Empirical studies on different function optimization problems illustrated the effectiveness and efficiency of the ADMBSO algorithm. Comparisons among the ADMBSO, BSO algorithm, closed-loop brain storm optimization algorithm, particle swarm optimization algorithm, and differential evolution algorithm, have also been provided in detail. As one of the first algorithms inspired by human behavior, ADMBSO demonstrates its great potential in dealing with complex optimization problems. Springer-Verlag Berlin Heidelberg, 2014 Global optimization nationallicence Evolutionary computation nationallicence Brain storm optimization nationallicence Discussion mechanism nationallicence Differential step nationallicence Yang Yuting Key Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang University, 310027, Hangzhou, China aut Shi Yuhui Xi'an Jiaotong-Liverpool University, 215123, Suzhou, China aut Xia Shunren Key Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang University, 310027, Hangzhou, China aut Soft Computing Springer Berlin Heidelberg 19/10(2015-10-01), 2997-3007 1432-7643 19:10<2997 2015 19 500 https://doi.org/10.1007/s00500-014-1463-x text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1463-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Yang Yuting Key Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang University, 310027, Hangzhou, China aut NATIONALLICENCE 700 1- Shi Yuhui Xi'an Jiaotong-Liverpool University, 215123, Suzhou, China aut NATIONALLICENCE 700 1- Xia Shunren Key Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang University, 310027, Hangzhou, China aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/10(2015-10-01), 2997-3007 1432-7643 19:10<2997 2015 19 500