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Convergence Analysis of Brain Storm Optimization Algorithm
2016 IEEE Congress on Evolutionary Computation (CEC), 2016Brain storm optimization (BSO) algorithm is a new kind of swarm intelligence algorithm, which is inspired by collective behavior of human beings. In this paper, a Markov model for brain storm optimization algorithm is derived. The model gives the theoretical probability of the occurrence of each possible population as the number of generation count ...
Haibin Duan, Yuhui Shi
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A comprehensive survey of brain storm optimization algorithms
2017 IEEE Congress on Evolutionary Computation (CEC), 2017The development, implementation, variant, and future directions of a new swarm intelligence algorithm, brain storm optimization (BSO) algorithm, are comprehensively surveyed. Brain storm optimization algorithm is a new and promising swarm intelligence algorithm, which simulates the human brainstorming process.
Shi Cheng 0002 +6 more
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Multifactorial Brain Storm Optimization Algorithm
2016Multifactorial optimization (MFO) is an optimization problem proposed in recent years to solve the multiple problems simultaneously. In this article we will introduce brain storm optimization (BSO) algorithm into MFO, and name this new methodology as multi-factorial brain storm optimization algorithm (MFBSA).
Xiaolong Zheng 0006 +3 more
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Adaptive Grouping Brain Storm Optimization for Multimodal Optimization Problems
International Journal of Swarm Intelligence Research, 2021Multimodal optimization problem exists in multiple global and many local optimal solutions. The difficulty of solving these problems is finding as many local optimal peaks as possible on the premise of ensuring global optimal precision. This article presents adaptive grouping brainstorm optimization (AGBSO) for solving these problems.
Yao Peng, Zepeng Shen, Shiqi Wang 0017
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Search strategies investigation in brain storm optimization
Memetic Computing, 2018The 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 potential strengths and weaknesses of these strategies in the BSO algorithm are analyzed and ...
Jingyu Wang +3 more
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Brain Storm Optimization Algorithm with Estimation of Distribution
2020Brain Storm Optimization (BSO) algorithm is a new intelligence optimization algorithm, which is effective to solve the multi-modal, high-dimensional and large-scale optimization problems. However, when the BSO algorithm deals with the complex problems, there are still some disadvantages, such as the slow speed of the search algorithm for the late ...
Jiahui Luo +4 more
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Modified Brain Storm Optimization Algorithm for Multimodal Optimization
2014Multimodal optimization is one of the most challenging tasks for optimization. The difference between multimodal optimization and single objective optimization problem is that the former needs to find both multiple global and local optima at the same time.
Xiaoping Guo, Yali Wu, Lixia Xie
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Brain Storm Optimization Algorithms: A Brief Review
2020Nowadays, many real-world optimization problems, which are separated and non-differentiable, could not be solved by traditional optimization algorithms efficiently. To deal with those complex problems, Swarm Intelligence (SI) algorithms have been widely applied due to their powerful search ability based on population.
Sicheng Hou +3 more
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Dynamic Multimodal Optimization Using Brain Storm Optimization Algorithms
Communications in Computer and Information Science, 2018Dynamic multimodal optimization (DMO) problem is introduced and solved with brain storm optimization (BSO) algorithms in this paper. A dynamic multimodal optimization problem is defined as an optimization problem with multiple global optima and characteristics of global optima are changed during the search process. The effectiveness of BSO algorithm is
Hui Lu, Junfeng Chen, Shi Cheng
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A GPU-based implementation of brain storm optimization
2017 IEEE Congress on Evolutionary Computation (CEC), 2017Brain storm optimization (BSO) is a newly emerging family of swarm intelligence techniques inspired by the human's creative problem-solving process, which has achieved successes in many applications. BSO is characterized by its unique process of grouping a population of ideas and carrying out brainstorming based on the grouped ideas to search for ...
Chen Jin, A. K. Qin 0001
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