Results 201 to 210 of about 4,226 (251)
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Brain Storm Optimization Algorithm
Lecture Notes in Computer Science, 2011Human being is the most intelligent animal in this world. Intuitively, optimization algorithm inspired by human being creative problem solving process should be superior to the optimization algorithms inspired by collective behavior of insects like ants, bee, etc.
Yuhui Shi
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Chaotic Brain Storm Optimization Algorithm
Lecture Notes in Computer Science, 2017Swarm intelligence algorithms are stochastic optimization algorithms that are very successfully used for hard optimization problems. Brain storm optimization is a recent swarm intelligence algorithm that has been proven successful in many applications but is still not researched enough.
Milan Tuba, Eva Tuba
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Global-Best Brain Storm Optimization Algorithm
Swarm and Evolutionary Computation, 2017Abstract Brain storm optimization (BSO) is a population-based metaheuristic algorithm that was recently developed to mimic the brainstorming process in humans. It has been successfully applied to many real-world engineering applications involving non-linear continuous optimization.
Mohammed El-Abd
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Brain storm optimization algorithm: a review
Artificial Intelligence Review, 2016For swarm intelligence algorithms, each individual in the swarm represents a solution in the search space, and it also can be seen as a data sample from the search space. Based on the analyses of these data, more effective algorithms and search strategies could be proposed.
Shi Cheng 0002 +3 more
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A cooperative Brain Storm Optimization Algorithm
2017 IEEE Congress on Evolutionary Computation (CEC), 2017In the last few years, hybridization has spread as an effective technique to solve hard optimization problems where metaheuristics algorithms have been unable to find global optima in a computational cost given. In this article, we propose the so-called cooperation strategy. This way is an alternative to hybridization in which different algorithms work
Ricardo García-Ródenas +2 more
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Brain Storm Optimization Algorithm in Objective Space
2015 IEEE Congress on Evolutionary Computation (CEC), 2015Brain storm optimization algorithm is a newly proposed swarm intelligence algorithm, which has two main operations, i.e., convergent operation and divergent operation. In the original brain storm optimization algorithm, a clustering algorithm is utilized to cluster individuals into clusters as the convergent operation which is time consuming because of
Yuhui Shi
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Brain storm optimization with chaotic operation
2015 Seventh International Conference on Advanced Computational Intelligence (ICACI), 2015Brain storm optimization (BSO) algorithm is a swarm intelligence algorithm inspired by the brainstorming process. In this paper, a modified BSO which is BSO with chaotic operation (BSOCO) is proposed to solve the premature problem of the original BSO.
Zhensu Yang, Yuhui Shi 0001
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Parameter investigation in brain storm optimization
2013 IEEE Symposium on Swarm Intelligence (SIS), 2013Human being is the most intelligent organism in the world and the brainstorming process popularly used by them has been demonstrated to be a significant and promising way to create great ideas for problem solving. Brain storm optimization (BSO) is a new kind of swarm intelligence algorithm inspired by human being creative problem solving process.
Zhi-hui Zhan +5 more
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Brain Storm Optimization for Portfolio Optimization
2016In this paper, Brain storm optimization (BSO) algorithm is employed to solve portfolio optimization (PO) problem with transaction fee and no short sales. In addition, simplified BSO (SBSO) and BSO in objective space (BSO-OS) are also utilized in the same model. The potential portfolio proportion is regarded as ideas that individual generated.
Ben Niu 0002 +3 more
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An Adaptive Brain Storm Optimization Algorithm for Multiobjective Optimization Problems
Lecture Notes in Computer Science, 2015Brain Storm Optimization BSO algorithm is a new swarm intelligence method that arising from the process of human beings problem-solving. It has been well validated and applied in solving the single objective problem. In order to extend the wide applications of BSO algorithm, a modified Self-adaptive Multiobjective Brain Storm Optimization SMOBSO ...
Jing Xin, Shi Cheng
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