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Dynamic-PSO: An improved particle swarm optimizer
2015 IEEE Congress on Evolutionary Computation (CEC), 2015In this paper, a variant of particle swarm optimization (PSO) is presented to handle the problem of stagnation encounters in PSO which may lead to get it trapped in local optima and premature convergence particularly in multimodal problems. The proposed scheme Dynamic-PSO (DPSO) does not disturb the fast convergence characteristics of PSO by keeping ...
Nitin Saxena 0002 +3 more
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Fuzzy PSO: a generalization of particle swarm optimization
Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005., 2006In standard particle swarm optimization (PSO), the best particle in each neighborhood exerts its influence over other particles in the neighborhood. In this paper, we propose fuzzy PSO, a generalization which differs from standard PSO in the following respect: charisma is defined to be a fuzzy variable, and more than one particle in each neighborhood ...
Ashraf M. Abdelbar +2 more
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QUAntum Particle Swarm Optimization: an auto-adaptive PSO for local and global optimization
Computational Optimization and Applications, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Flori, Arnaud +2 more
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PSO+: A nonlinear constraints-handling particle swarm optimization
2016 IEEE Congress on Evolutionary Computation (CEC), 2016This paper proposes a new approach to Particle Swarm Optimization (PSO) to solve nonlinear problems with linear and nonlinear constraints. A crossover operator and a new particle updating method, named Footholds Concept, were developed to guarantee fully feasible solutions and better search-space coverage, respectively.
Manoela Kohler +4 more
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Parallelizing a Modified Particle Swarm Optimizer (PSO)
Advanced Materials Research, 2010Recently, a modified Particle Swarm Optimizer (MLPSO) has been succeeded in solving truss topological optimization problems and competitive results are obtained. Since this optimizer belongs to evolutionary algorithm and plagued by high computational cost as measured by execution time, in order to reduce its execution time for solving large complex ...
Bin Yang, Qi Lin Zhang
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Robotic applications with Particle Swarm Optimization (PSO)
2013 International Conference on Control, Decision and Information Technologies (CoDIT), 2013Swarm Intelligence (SI) is inspired from the study of colonies of swarms in Nature. This paper introduces a study originated on swarm intelligence, Particle Swarm Optimization (PSO). Three case studies on one link arm, a SCARA robot and a electrohydraulic robot - are presented on both simulation and experimental base to show effectiveness and ...
M. Taylan Das +2 more
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PSO2: Particle swarm optimization with PSO-based local search
2011 IEEE Congress of Evolutionary Computation (CEC), 2011Several attempts have been made to enhance PSO performance by combining it with a local search method. Following the same track, we present in this paper local search in PSO performed by smaller independent swarms of PSO producing PSO2. Different modifications are made to help basic PSO2 enhance performance.
Mohamed Khairy +2 more
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Scatter PSO - A more effective form of Particle Swarm Optimization
2007 IEEE Congress on Evolutionary Computation, 2007A fertile complementarity exists between scatter search (SS) and particle swarm optimization (PSO). Shared and contrasting principles underlying these methods provide a fertile basis for combining them to create a hybrid method. We identify a specific hybrid, scatter PSO, giving rise to two variants that prove more effective than the constriction ...
Peng-Yeng Yin +3 more
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Phasor particle swarm optimization: a simple and efficient variant of PSO
Soft Computing, 2018Particle swarm optimizer is a well-known efficient population and control parameter-based algorithm for global optimization of different problems. This paper focuses on a new and primary sample for PSO, which is named phasor particle swarm optimization (PPSO) and is based on modeling the particle control parameters with a phase angle (θ), inspired from
Mojtaba Ghasemi +5 more
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A Particle Swarm Optimization Technique (PSO) for Power Filter Design
2009 Third UKSim European Symposium on Computer Modeling and Simulation, 2009This paper presents the application of a new Particle swarm optimization technique for power system shunt filter design to ensure harmonic reduction and noise mitigation on the electrical utility grid. The proposed filter design is based on the minimization of multi objective functions.
Adel M. Sharaf, Adel A. A. El-Gammal
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