About: BSO-CLS: Brain Storm Optimization Algorithm with Cooperative Learning Strategy

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	BSO-CLS: Brain Storm Optimization Algorithm with Cooperative Learning Strategy
Creator	Yang, Jian Duan, Qiqi Shi, Yuhui Cheng, Shi Qu, Liang Zheng, Ruiqi
Source	PMC
abstract	Brain storm optimization algorithms (BSO) have shown great potential in many global black-box optimization problems. However, the existing BSO variants can suffer from three problems: (1) large-scale optimization problem; (2) hyperparameter optimization problem; (3) high computational cost of the clustering operations. To address these problems, in this paper, we propose a simple yet effective BSO variant named Brain Storm Optimization Algorithm with Cooperative Learning Strategy (BSO-CLS). It is inspired by the new ideas generating process of brain storm in which the participators propose their own ideas by cooperatively learning other participators’ ideas. Thus, BSO-CLS iteratively updates the candidate solutions by linearly combining other solutions with the weights deriving from the fitness values of other solutions. To validate the effectiveness of the proposed method, we test it on 6 benchmark functions with the 1000 dimensions. The experimental results show that BSO-CLS can outperform the vanilla BSO and the other BSO variant with the learning strategy.
has issue date	2020-06-22(xsd:dateTime)
bibo:doi	10.1007/978-3-030-53956-6_22
has license	no-cc
sha1sum (hex)	ef229030cdb1f8210993707fd4b8a88742d1fc99
schema:url	https://doi.org/10.1007/978-3-030-53956-6_22
resource representing a document's title	BSO-CLS: Brain Storm Optimization Algorithm with Cooperative Learning Strategy
has PubMed Central identifier	PMC7354805
schema:publication	Advances in Swarm Intelligence
resource representing a document's body	covid:ef229030cdb1f8210993707fd4b8a88742d1fc99#body_text
is schema:about of	named entity 'great' named entity 'Cooperative' named entity 'existing' named entity 'BSO' named entity 'optimization problem' named entity 'Brain storm optimization' named entity 'BSO' named entity 'algorithm' named entity 'candidate solution' named entity 'candidate solution' named entity 'Rosenbrock function' named entity 'swarm intelligence' named entity 'candidate solutions' named entity 'cooperative learning' named entity 'optimization problems' named entity 'PSO' named entity 'statistical error' named entity 'k-means' named entity 'algorithm' named entity 'simple creatures' named entity 'good performance' named entity 'evaluation function' named entity 'black-box optimization' named entity 'brainstorming' named entity 'gradient information' named entity 'Ellipsoid' named entity 'Black-box' named entity 'algorithm' named entity 'algorithm' named entity 'candidate solutions' named entity 'candidate solutions' named entity 'empirical results' named entity 'candidate solutions' named entity 'solution space' named entity 'test function' named entity 'arg min' named entity 'experimental settings' named entity 'black-box optimization' named entity 'Algorithm' named entity 'Randomly select' named entity 'evaluation function' named entity 'computational cost' named entity 'vanilla' named entity 'vanilla' named entity 'evaluation function' named entity 'orthogonal' named entity 'candidate solution' named entity 'candidate solutions' named entity 'standard deviation' named entity 'brainstorming' named entity 'computational cost' named entity 'candidate solution' named entity 'cooperative learning' named entity 'PSO' named entity 'candidate solutions' named entity 'ant colony optimization' named entity 'candidate solution' named entity 'test function' named entity 'empirical results' named entity 'evaluation function' named entity 'black-box optimization' named entity 'candidate solutions' named entity 'ACO' named entity 'standard deviation' named entity 'algorithm' named entity 'complex problems' named entity 'unimodal function' named entity 'optimization problems' named entity 'local optima' named entity 'global optima' named entity 'algorithm' named entity 'evaluation function' named entity 'candidate solution' named entity 'particle swarm optimization' named entity 'learning object' named entity 'randomly select' named entity 'hyperparameter optimization' named entity 'Cooperative Learning'

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