Results 221 to 230 of about 4,226 (251)

Classification Based on Brain Storm Optimization Algorithm

2016
As one of the important issues of data classification, classification has attracted the attention of many researchers in the field of data mining. Different from clustering research issues, in classification research issues, evolutionary clustering algorithms (EAs) were only used to improve the performance of classifiers either by optimizing the ...
Yu Xue 0003, Tao Tang, Tinghuai Ma
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Two-Stage Learning Brain Storm Optimizer

2020
Brain storm optimizer (BSO), a new swarm intelligence paradigm inspired from the human brainstorming process, have received a surge of attentions. However, the original BSO easily suffers from the premature convergence due to its ineffective solution generation operation.
Yan Xu, Jingwei Wang, Lianbo Ma, Junfeng Zhao 0003, Xiaolong Shen   +4 more
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Brain Storm Optimization with Discrete Particle Swarm Optimization for TSP

2016 12th International Conference on Computational Intelligence and Security (CIS), 2016
Traveling Salesman Problem (TSP) is one of the most classically studied problems in computational mathematics. It is essentially focused on optimization. In this paper, a hybrid algorithm of combining Brain Storm Optimization (BSO) with Discrete Particle Swarm Optimization (DPSO) is presented.
Zhoudong Hua, Junfeng Chen, Yingjuan Xie
openaire   +1 more source

Bandwidths Optimization on Sparse Matrices Using Brain Storm Optimization

2017 19th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2017
Brain storm optimization (BSO) algorithm is a swarm intelligence algorithm, which simulates the human brainstorming process. This paper proposes two hybrid methods based on BSO, aiming the reduction of the bandwidth and the average bandwidth of sparse matrices.
Liviu Octavian Mafteiu-Scai, Emanuela Mafteiu-Scai, Teodora Voina   +2 more
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An Improved Brain Storm Optimization with Learning Strategy

2017
Brain Storm Optimization (BSO) algorithm is a brand-new and promising swarm intelligence algorithm by mimicking human being’s behavior of brainstorming. This paper presents an improved BSO, i.e., BSO with learning strategy (BSOLS). It utilizes a novel learning strategy whereby the first half individuals with better fitness values maintain their ...
Hong Wang 0016, Jia Liu, Wenjie Yi, Ben Niu 0002, Jaejong Baek   +4 more
openaire   +1 more source

Multi-Objective Optimization Based on Brain Storm Optimization Algorithm

International Journal of Swarm Intelligence Research, 2013
In recent years, many evolutionary algorithms and population-based algorithms have been developed for solving multi-objective optimization problems. In this paper, the authors propose a new multi-objective brain storm optimization algorithm in which the clustering strategy is applied in the objective space instead of in the solution space in the ...
Yuhui Shi 0001, Jingqian Xue, Yali Wu
openaire   +1 more source

Augmented Brain Storm Optimization with Mutation Strategies

2017
Brain storm optimization (BSO) is a recently proposed novel and promising swarm intelligence algorithm which models the human brainstorming problem-solving process. In BSO, the search areas are grouped into several clusters resulting in the diversity of population decrease in iterations.
Xianghua Chu, Jiansheng Chen, Fulin Cai, Chen Chen 0034, Ben Niu 0002   +4 more
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Stepladder determinative brain storm optimization

Applied Intelligence, 2022
Georgia Sovatzidi, Dimitris K. Iakovidis
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Brain storm optimization with adaptive search radius for optimization

2017 International Conference on Progress in Informatics and Computing (PIC), 2017
Brain storm optimization algorithm is a newly proposed algorithm which is based on the social behaviors of human beings. It gets inspiration from the procedure of brain storming to generate new individuals. The properties of brain storming highly ensure the diversity of the whole population and can efficiently eliminate premature convergence.
Yang Yu, Lei Wu, Hang Yu, Sheng Li, Shi Wang, Shangce Gao   +5 more
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Total Optimization of Smart City by Brain Storm Optimization

2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), 2018
This paper proposes a total optimization method of a smart city (SC) by brain storm optimization (BSO). The method utilizes a SC model. The model includes natural gas utilities, electric power utilities, drinking and waste water treatment plants, industries, buildings, residences, and railroads.
Mayuko Sato, Yoshikazu Fukuyama
openaire   +1 more source