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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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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Analysis of COVID-19 severity from the perspective of coagulation index using evolutionary machine learning with enhanced brain storm optimization. [PDF]
J King Saud Univ Comput Inf Sci, 2022 Coronavirus 2019 (COVID-19) is an extreme acute respiratory syndrome. Early diagnosis and accurate assessment of COVID-19 are not available, resulting in ineffective therapeutic therapy.
Shi B +8 more
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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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A multi-objective brain storm optimization for integrated distributed flexible job shop and distribution problems. [PDF]
HeliyonProduction and distribution are critical components of the furniture supply chain, and achieving optimal performance through their integration has become a vital focus for both the academic and business communities.
Jia Y, Zhou Y, Fu Y.
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A Discrete Brain Storm Optimization Algorithm for Hybrid Flowshop Scheduling Problems with Batch Production at Last Stage in the Steelmaking-Refining-Continuous Casting Process. [PDF]
Sensors (Basel)The iron and steel industry is energy-intensive due to the large volume of steel produced and its high-temperature and high-weight characteristics, sensors such as high-temperature application sensors can be utilized to collect production data and ...
Peng K +5 more
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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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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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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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