Results 1 to 10 of about 81 (67)
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.
Changyou Wu, Xisong Fu
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Many-Objective Brain Storm Optimization Algorithm
IEEE Access, 2019 In recent years, many evolutionary algorithms and population-based algorithms have been developed for solving many-objective optimization problems. Inspired by the human brainstorming conference, Brain Storming Optimization (BSO) algorithm was guided by ...
Yali Wu +3 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,
Yang Yu +5 more
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Learning-based Brain Storm Optimization Algorithm for Nonlinear Equation System [PDF]
Jisuanji gongcheng, 2023 The difficulty of solving a Nonlinear Equation System(NES) involves the multiple roots obtained in one search round. Traditional methods can not simultaneously meet the requirements of accuracy and finding all available solutions.
Shi CHENG, Xueping WANG, Yue LIU, Yuhui SHI
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Algorithms, 2023 For multimodal multi-objective optimization problems (MMOPs), there are multiple equivalent Pareto optimal solutions in the decision space that are corresponding to the same objective value.
Jiajia Fan +3 more
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Linear Array Synthesis for Wireless Power Transmission Based on Brain Storm Optimization Algorithm
International Journal of Antennas and Propagation, 2021 Based on the brain storm optimization algorithm, this paper proposed a new method to optimize the beam collection efficiency of the linear antenna array.
Guang Xu Liu, Qin Qin, Qing He Zhang
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A Clustering-Guided Integer Brain Storm Optimizer for Feature Selection in High-Dimensional Data
Discrete Dynamics in Nature and Society, 2021 For high-dimensional data with a large number of redundant features, existing feature selection algorithms still have the problem of “curse of dimensionality.” In view of this, the paper studies a new two-phase evolutionary feature selection algorithm ...
Jia Yun-Tao, Zhang Wan-Qiu, He Chun-Lin
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Adaptive Self-Scaling Brain-Storm Optimization via a Chaotic Search Mechanism
Algorithms, 2021 Brain-storm optimization (BSO), which is a population-based optimization algorithm, exhibits a poor search performance, premature convergence, and a high probability of falling into local optima.
Zhenyu Song +5 more
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International Journal of Computational Intelligence Systems, 2023 Real-world optimization problems often have multiple optimal solutions and simultaneously finding these optimal solutions is beneficial yet challenging. Brain storm optimization (BSO) is a relatively new paradigm of swarm intelligence algorithm that has ...
Yuhui Zhang +3 more
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Mathematics, 2022 Brain storm optimization algorithm (BSO) is a popular swarm intelligence algorithm. A significant part of BSO is to divide the population into different clusters with the clustering strategy, and the blind disturbance operator is used to generate ...
Wei Li +4 more
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