Hybrid Clustering-Enhanced Brain Storm Optimization Algorithm for Efficient Multi-Robot Path Planning. [PDF]
Biomimetics (Basel)To address the core challenges in multi-robot path planning (MRPP) within large-scale, complex environments—namely path conflicts, suboptimal task allocation, and computational inefficiency—this paper introduces a Hybrid Clustering-Enhanced Brain Storm ...
Qiu G, Deng J, Li J, Wang W.
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An Agglomerative Greedy Brain Storm Optimization Algorithm for Solving the TSP
IEEE Access, 2020 The brain storm optimization algorithm(BSO) is a population based metaheuristic algorithm inspried by the human conferring process that was proposed in 2010. Since its first implementation, BSO has been widely used in various fields.
Xisong Fu, Changyou Wu
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Enhanced nonlinear active noise control: A novel approach using brain storm optimization algorithm. [PDF]
HeliyonActive Noise Control (ANC) systems play a crucial role in reducing unwanted noise in various settings. Traditional ANC methods, like the Filtered-x Least Mean Squares (FxLMS) algorithm, are effective in linear noise scenarios.
Xie J, Ma J.
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Global-best brain storm optimization algorithm based on chaotic difference step and opposition-based learning. [PDF]
Sci RepRecently, the following global-best strategy and discussion mechanism have been prevailing to solve the slow convergence and the low optimization accuracy in the brain storm optimization (BSO) algorithm.
Zhao Y, Cheng J, Cai J, Qi B.
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Causal Discovery Combining K2 with Brain Storm Optimization Algorithm. [PDF]
Molecules, 2018 Exploring and detecting the causal relations among variables have shown huge practical values in recent years, with numerous opportunities for scientific discovery, and have been commonly seen as the core of data science.
Hong Y +4 more
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Simplex Search-Based Brain Storm Optimization
IEEE Access, 2018 Through modeling human's brainstorming process, the brain storm optimization (BSO) algorithm has become a promising population-based evolutionary algorithm.
Yifei Sun, Shi Cheng, Qunfeng Liu
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Running-Time Analysis of Brain Storm Optimization Based on Average Gain Model. [PDF]
Biomimetics (Basel)The brain storm optimization (BSO) algorithm has received increased attention in the field of evolutionary computation. While BSO has been applied in numerous industrial scenarios due to its effectiveness and accessibility, there are few theoretical ...
Mai G +6 more
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A Multiple Diversity-Driven Brain Storm Optimization Algorithm With Adaptive Parameters
IEEE Access, 2019 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 far,
Shangce Gao, Jiujun Cheng, Yirui Wang
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A Simple Brain Storm Optimization Algorithm With a Periodic Quantum Learning Strategy
IEEE Access, 2018 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.
Li Chunquan, Peter X Liu, Zhenshou Song
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BSO-CLS: Brain Storm Optimization Algorithm with Cooperative Learning Strategy [PDF]
Advances in Swarm Intelligence, 2020 Qu L +5 more
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