A New Particle Swarm Optimizer with Cooperative Coevolution for Large Scale Optimization

2015 ◽  
pp. 781-789
Author(s):  
Shailendra S. Aote ◽  
M. M. Raghuwanshi ◽  
L. G. Malik
Keyword(s):  
Large Scale ◽  
Particle Swarm ◽  
Large Scale Optimization ◽  
Cooperative Coevolution ◽  
Particle Swarm Optimizer ◽  
Scale Optimization

scholarly journals An Adaptive Multi-Swarm Competition Particle Swarm Optimizer for Large-Scale Optimization

Mathematics ◽  
2019 ◽  
Vol 7 (6) ◽  
pp. 521 ◽  
Author(s):  
Fanrong Kong ◽  
Jianhui Jiang ◽  
Yan Huang
Keyword(s):  
Large Scale ◽  
Optimization Problems ◽  
Particle Swarm ◽  
The Other ◽  
Large Scale Optimization ◽  
Particle Swarm Optimizer ◽  
Competition Mechanism ◽  
Benchmark Suite ◽  
Scale Optimization ◽  
The One

As a powerful tool in optimization, particle swarm optimizers have been widely applied to many different optimization areas and drawn much attention. However, for large-scale optimization problems, the algorithms exhibit poor ability to pursue satisfactory results due to the lack of ability in diversity maintenance. In this paper, an adaptive multi-swarm particle swarm optimizer is proposed, which adaptively divides a swarm into several sub-swarms and a competition mechanism is employed to select exemplars. In this way, on the one hand, the diversity of exemplars increases, which helps the swarm preserve the exploitation ability. On the other hand, the number of sub-swarms adaptively changes from a large value to a small value, which helps the algorithm make a suitable balance between exploitation and exploration. By employing several peer algorithms, we conducted comparisons to validate the proposed algorithm on a large-scale optimization benchmark suite of CEC 2013. The experiments results demonstrate the proposed algorithm is effective and competitive to address large-scale optimization problems.

scholarly journals An Entropy-Assisted Particle Swarm Optimizer for Large-Scale Optimization Problem

Mathematics ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. 414 ◽  
Author(s):  
Weian Guo ◽  
Lei Zhu ◽  
Lei Wang ◽  
Qidi Wu ◽  
Fanrong Kong
Keyword(s):  
Large Scale ◽  
Optimization Problems ◽  
Particle Swarm ◽  
Large Scale Optimization ◽  
Particle Swarm Optimizer ◽  
Fitness Evaluation ◽  
Diversity Maintenance ◽  
Entropy Measurement ◽  
Benchmark Suite ◽  
Scale Optimization

Diversity maintenance is crucial for particle swarm optimizer’s (PSO) performance. However, the update mechanism for particles in the conventional PSO is poor in the performance of diversity maintenance, which usually results in a premature convergence or a stagnation of exploration in the searching space. To help particle swarm optimization enhance the ability in diversity maintenance, many works have proposed to adjust the distances among particles. However, such operators will result in a situation where the diversity maintenance and fitness evaluation are conducted in the same distance-based space. Therefore, it also brings a new challenge in trade-off between convergence speed and diversity preserving. In this paper, a novel PSO is proposed that employs competitive strategy and entropy measurement to manage convergence operator and diversity maintenance respectively. The proposed algorithm was applied to the large-scale optimization benchmark suite on CEC 2013 and the results demonstrate the proposed algorithm is feasible and competitive to address large scale optimization problems.

An adaptive particle swarm optimizer with decoupled exploration and exploitation for large scale optimization

2021 ◽  
Vol 60 ◽  
pp. 100789
Author(s):  
Dongyang Li ◽  
Weian Guo ◽  
Alexander Lerch ◽  
Yongmei Li ◽  
Lei Wang ◽  
...  
Keyword(s):  
Large Scale ◽  
Particle Swarm ◽  
Large Scale Optimization ◽  
Exploration And Exploitation ◽  
Particle Swarm Optimizer ◽  
Scale Optimization

A Grouping Particle Swarm Optimizer with Personal-Best-Position Guidance for Large Scale Optimization

2018 ◽  
Vol 15 (6) ◽  
pp. 1904-1915 ◽  
Author(s):  
Weian Guo ◽  
Chengyong Si ◽  
Yu Xue ◽  
Yanfen Mao ◽  
Lei Wang ◽  
...  
Keyword(s):  
Large Scale ◽  
Particle Swarm ◽  
Large Scale Optimization ◽  
Particle Swarm Optimizer ◽  
Scale Optimization

Quantum differential evolution with cooperative coevolution framework and hybrid mutation strategy for large scale optimization

2021 ◽  
Vol 224 ◽  
pp. 107080
Author(s):  
Wu Deng ◽  
Shifan Shang ◽  
Xing Cai ◽  
Huimin Zhao ◽  
Yongquan Zhou ◽  
...  
Keyword(s):  
Differential Evolution ◽  
Large Scale ◽  
Large Scale Optimization ◽  
Cooperative Coevolution ◽  
Mutation Strategy ◽  
Scale Optimization
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