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Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05674-0
Abstract: The evolutionary game theory aims to simulate different decision strategies in populations of individuals and to determine how the population evolves. Compared to strategies between two agents, such as cooperation or noncooperation, strategies on multiple…
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Keywords:
optimization;
brain storm;
knowledge spillover;
evolutionary game ... See more keywords
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Published in 2020 at "Applied Intelligence"
DOI: 10.1007/s10489-020-01763-8
Abstract: This paper presents a novel approach based on the combination of the Modified Brain Storm Optimization algorithm (MBSO) with a simplified version of the Constraint Consensus method as special operator to solve constrained numerical optimization…
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Keywords:
storm optimization;
modified brain;
optimization;
special operator ... See more keywords
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Published in 2018 at "Memetic Computing"
DOI: 10.1007/s12293-018-0261-x
Abstract: The canonical brain storm optimization (BSO) employs clustering, creating and selecting operators, which are all connected and have great impacts on the optimization performance. In this paper, the state-of-the-art search strategies are introduced and the…
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Keywords:
search strategies;
storm optimization;
brain storm;
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Published in 2024 at "International Journal of General Systems"
DOI: 10.1080/03081079.2024.2326424
Abstract: Distributed manufacturing scheduling problems have attracted much concern from both industrial and academic areas. Nevertheless, distributed scheduling problems with distribution operations are seldom studied. This work proposes a distributed flexible job shop scheduling problem with…
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Keywords:
distribution operations;
brain storm;
distributed flexible;
storm optimization ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2017.2776958
Abstract: Brain storm optimization (BSO) is a young and promising population-based swarm intelligence algorithm inspired by the human process of brainstorming. The BSO algorithm has been successfully applied to both science and engineering issues. However, thus…
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Keywords:
sbso pqls;
quantum;
storm optimization;
optimization ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2906899
Abstract: Brain storm optimization is a newly proposed meta-heuristic that has shown great success in many applications. However, it still suffers from slow convergence speed and population premature problems. To address these issues, this paper proposes…
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Keywords:
optimization;
storm optimization;
distributed brain;
brain storm ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2939353
Abstract: Brain storm optimization (BSO) is a swarm intelligence optimization algorithm which is proven to have practical values in various fields. During these years, many modifications have been facilitated to effectively improve BSO’s search performance. So…
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Keywords:
optimization;
brain storm;
optimization algorithm;
multiple diversity ... See more keywords
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Published in 2024 at "Algorithms"
DOI: 10.3390/a17050172
Abstract: To tackle the problem of the brain storm optimization (BSO) algorithm’s suboptimal capability for avoiding local optima, which contributes to its inadequate optimization precision, we developed a flock decision mutation approach that substantially enhances the…
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Keywords:
brain storm;
algorithm;
storm optimization;
flock decision ... See more keywords