GEPSO
swMATH ID:  37529 
Software Authors:  Sedighizadeh, Davoud; Masehian, Ellips; Sedighizadeh, Mostafa; Akbaripour, Hossein 
Description:  GEPSO: a new generalized particle swarm optimization algorithm. Particle Swarm Optimization (PSO) algorithm is a natureinspired metaheuristic that has been utilized as a powerful optimization tool in a wide range of applications since its inception in 1995. Due to the flexibility of its parameters and concepts, PSO has appeared in many variants, probably more than any other metaheuristic algorithm. This paper introduces the Generalized Particle Swarm Optimization (GEPSO) algorithm as a new version of the PSO algorithm for continuous space optimization, which enriches the original PSO by incorporating two new terms into the velocity updating equation. These terms aim to deepen the interrelations of particles and their knowledge sharing, increase variety in the swarm, and provide a better search in unexplored areas of the search space. Moreover, a novel procedure is utilized for dynamic updating of the particles’ inertia weights, which controls the convergence of the swarm towards a solution. Also, since parameters of heuristic and metaheuristic algorithms have a significant influence on their performance, a comprehensive guideline for parameter tuning of the GEPSO is developed. The computational results of solving numerous wellknown benchmark functions by the GEPSO, original PSO, Repulsive PSO (REPSO), PSO with Passive Congregation (PSOPC), Negative PSO (NPSO), Deterministic PSO (DPSO), and Line SearchBased DerivativeFree PSO (LSDFPSO) approaches showed that the GEPSO outperformed the compared methods in terms of mean and standard deviation of fitness function values and runtimes. 
Homepage:  https://www.sciencedirect.com/science/article/abs/pii/S0378475420302743 
Keywords:  heuristic algorithms; particle swarm optimization (PSO); parameter tuning; swarm intelligence 
Related Software:  GWO; MSMA; BlossomQuad; UQLab 
Cited in:  4 Documents 
Standard Articles
1 Publication describing the Software, including 1 Publication in zbMATH  Year 

GEPSO: a new generalized particle swarm optimization algorithm. Zbl 07318174 Sedighizadeh, Davoud; Masehian, Ellips; Sedighizadeh, Mostafa; Akbaripour, Hossein 
2021

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Cited by 16 Authors
Cited in 3 Serials
2  Computer Methods in Applied Mechanics and Engineering 
1  Mathematics and Computers in Simulation 
1  Applied Mathematical Modelling 
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