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Brain Storm Optimization Algorithm for Multi-objective Optimization Problems
2012In this paper, a novel multi-objective optimization algorithm based on the brainstorming process is proposed(MOBSO). In addition to the operations used in the traditional multi-objective optimization algorithm, a clustering strategy is adopted in the objective space. Two typical mutation operators, Gaussian mutation and Cauchy mutation, are utilized in
Jingqian Xue +3 more
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Brain Storm Optimized Swarm Collaboration for Bus Scheduling
2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 2019Smart traffic control is a promising technology to exploit the available transportation resource and relieve traffic congestion in smart cities. This paper considers the bus scheduling problem, where a swarm of unmanned buses is supposed to intelligently accomplish tasks such as on-demand dynamic passenger pick-up or drop-off.
Liangxi Liu, Siqing Ma, Jun Steed Huang
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Drone Placement for Optimal Coverage by Brain Storm Optimization Algorithm
2018Unmanned aerial vehicles or drones are used in wide range of applications and one of them is area monitoring. Finding the optimal positions for drones so that the coverage is maximized, while reducing the fuel consumption represents computationally hard problem. For these kinds of problems, swarm intelligence algorithms have been successfully used.
Eva Tuba +3 more
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Enhanced Brain Storm Optimization with Role-playing Strategy
2019 IEEE Congress on Evolutionary Computation (CEC), 2019Brain storm optimization (BSO) is a kind of swarm intelligence, which is derived from human brainstorming process. And it has been successfully applied in solving practical problems. As a relatively new algorithm, BSO has the problem of slow convergence speed and being prone to local optimum.
Jianqiang Chen +5 more
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Gaussian Bare-Bones Brain Storm Optimization Algorithm
2019 IEEE Congress on Evolutionary Computation (CEC), 2019Brain Storm Optimization (BSO) is a population-based algorithm developed based on the humans brainstorming process. It has been successfully applied to many applications in the domain of non-linear continuous optimization. The performance of BSO has been enhanced in the literature through many works attempting to improve its different stages.
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Brain and Other Central Nervous System Tumor Statistics, 2021
Ca-A Cancer Journal for Clinicians, 2021Rebecca L. Siegel +2 more
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A Reinforcement Learning Brain Storm Optimization Algorithm (BSO) With Learning Mechanism
Knowledge-Based Systems, 2022Ling Wang, Jianxin Tang, Fuqing Zhao
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Alternate Search Pattern-Based Brain Storm Optimization
Knowledge-Based Systems, 2022Shangce Gao, Shi Cheng, Yuhui Shi
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