Results 21 to 30 of about 199 (121)
Algorithms, 2019 This paper proposes total optimization of energy networks in a smart city by multi-population global-best modified brain storm optimization (MP-GMBSO).
Mayuko Sato +3 more
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Adaptive Self-Scaling Brain-Storm Optimization via a Chaotic Search Mechanism
Algorithms, 2021 Brain-storm optimization (BSO), which is a population-based optimization algorithm, exhibits a poor search performance, premature convergence, and a high probability of falling into local optima.
Zhenyu Song +5 more
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An Improved Brain Storm Optimization with Dynamic Clustering Strategy
MATEC Web of Conferences, 2017 Intelligence algorithms play an increasingly important role in the field of intelligent control. Brain storm optimization (BSO) is a new kind of swarm intelligence algorithm inspired by emulating the collective behavior of human beings in the problem ...
Cao Zijian, Rong Xiaofeng, Du Zhiqiang
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A Hybrid BSO-ACO for Dynamic Vehicle Routing Problem on Real-World Road Networks
IEEE Access, 2022 The Dynamic Vehicle Routing Problem With Time Windows (DVRPTW) is an NP-hard problem, which has attracted a lot of attention in the past decades due to its many practical applications in logistics.
Mingde Liu +5 more
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Classification Based on Brain Storm Optimization With Feature Selection
IEEE Access, 2021 Classification is one of the most classic problems in machine learning. Due to the global optimization ability, evolutionary computation (EC) techniques have been successfully applied to solve many problems and the evolutionary classification model is ...
Yu Xue, Yan Zhao, Adam Slowik
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ASBSO: An Improved Brain Storm Optimization With Flexible Search Length and Memory-Based Selection
IEEE Access, 2018 Brain storm optimization (BSO) is a newly proposed population-based optimization algorithm, which uses a logarithmic sigmoid transfer function to adjust its search range during the convergent process. However, this adjustment only varies with the current
Yang Yu +4 more
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A Compact Brain Storm Algorithm for Matching Ontologies
IEEE Access, 2020 An ontology can formally present the domain knowledge by specifying the domain concepts and their relationships, which is a kernel technique for addressing the data heterogeneity issue in the semantic web. However, since existing ontologies are developed
Xingsi Xue, Jiawei Lu
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A Vector Grouping Learning Brain Storm Optimization Algorithm for Global Optimization Problems
IEEE Access, 2018 The original brain storm optimization (BSO) method does not rationally compromise global exploration and local exploitation capability, which results in the premature convergence when solving complicated optimization problems such as the shifted or ...
Chunquan Li +6 more
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Improved Brain Storm Optimization Algorithm Based on Flock Decision Mutation Strategy
AlgorithmsTo tackle the problem of the brain storm optimization (BSO) algorithm’s suboptimal capability for avoiding local optima, which contributes to its inadequate optimization precision, we developed a flock decision mutation approach that substantially ...
Yanchi Zhao, Jianhua Cheng, Jing Cai
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Hybrid solution method for ultra-wideband positioning in coal mines
Gong-kuang zidonghua, 2021 Ultra-wideband positioning is based on the marked point distance measured by the base station and a set of non-linear positioning equations to obtain the precise device position by applying Taylor series expansion algorithm, Chan algorithm or least ...
CHEN Meirong +3 more
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