scholarly journals A Distributed Brain Storm Optimization for Numerical Optimization and Graph Planarization

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 39770-39781 ◽  
Author(s):  
Zhe Xu ◽  
Xiaofang Li ◽  
Xianglian Meng ◽  
Yanting Liu
Keyword(s):  
Numerical Optimization ◽  
Brain Storm Optimization ◽  
Graph Planarization

scholarly journals BSO20: efficient brain storm optimization for real-parameter numerical optimization

2021 ◽  
Author(s):  
Peilan Xu ◽  
Wenjian Luo ◽  
Xin Lin ◽  
Shi Cheng ◽  
Yuhui Shi
Keyword(s):  
Global Optimization ◽  
Numerical Optimization ◽  
Real Parameter ◽  
Global Optimization Algorithm ◽  
Swarm Optimization ◽  
Brain Storm Optimization ◽  
Grouping Strategy ◽  
Mutation Strategy ◽  
Multiple Clusters ◽  
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AbstractBrain storm optimization (BSO) is an emerging global optimization algorithm. The primary idea is to divide the population into different clusters, and offspring are generated within a cluster or between two clusters. However, the problems of inefficient clustering strategy and insufficient exploration exist in BSO. In this paper, a novel and efficient BSO is proposed, called BSO20 (proposed in 2020). BSO20 pays attention to both the clustering strategy and the mutation strategy. First, we propose a hybrid clustering strategy, which combines two clustering strategies, i.e., nearest-better clustering and random grouping strategy. The size of the subpopulation clustered by two strategies is dynamically adjusted as the population evolves. Second, a modified mutation strategy is used in BSO20 to share information within a cluster or among multiple clusters to enhance the ability of exploration. BSO20 is tested on the problems of the 2017 IEEE Congress on Evolutionary Computation competition on real parameter numerical optimization. BSO20 is compared with several variants of BSO and two variants of particle swarm optimization, and the experimental results show that BSO20 is competitive.

Numerical optimization of a Francis turbine’s guide vane axis location including inflow uncertainties

2013 ◽  
pp. 36-41
Author(s):  
Olivier Brugière ◽  
Guillaume Balarac ◽  
Christophe Corre ◽  
Olivier Métais ◽  
Emmanuel Flores ◽  
...  
Keyword(s):  
Numerical Optimization ◽  
Guide Vane

Numerical Optimization of a Centrifugal Pump Impeller with Splitter Blades Running in Reverse Mode

2016 ◽  
Vol 10 (4) ◽  
pp. 215 ◽  
Author(s):  
Ioannis Kassanos ◽  
Marios Chrysovergis ◽  
John Anagnostopoulos ◽  
George Charalampopoulos ◽  
Stamelos Rokas ◽  
...  
Keyword(s):  
Centrifugal Pump ◽  
Numerical Optimization ◽  
Pump Impeller ◽  
Reverse Mode ◽  
Centrifugal Pump Impeller

Numerical optimization of partial pressures of working mixture excimer HgBr/Hgl lamp

2000 ◽  
Vol 7 (0) ◽  
pp. 127-130
Author(s):  
А. В. Поляк ◽  
М. М. Гуйван ◽  
О. М. Малінін
Keyword(s):  
Numerical Optimization ◽  
Partial Pressures

Numerical Optimization Algorithm for Unsteady Flows of Rotor based on Web Service

2019 ◽  
pp. -1--1
Author(s):  
Jilin Zhang ◽  
Xuechao Liu ◽  
Jian Wan ◽  
Yongjian Ren ◽  
Binglin Xu ◽  
...  
Keyword(s):  
Web Service ◽  
Optimization Algorithm ◽  
Numerical Optimization ◽  
Unsteady Flows
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