Results 11 to 20 of about 66,918,658 (250)

Parameters optimization of photovoltaic systems using modified quantum inspired particle swarm method [PDF]

Scientific Reports
Today, the need for photovoltaic (PV) energy is increasing due to its abundance and hazard-free nature. A PV system is described by its mathematical models. These models contain intrinsic parameters, not provided by the manufacturer.
Zia Ur Rehman, Obaid Ur Rehman, Amr Munshi, M Abid Saeed, Sadaqat Ur Rehman   +4 more
doaj   +2 more sources

Comparative analysis of advanced constraint-handling in quantum PSO with differential mutation for optimal power flow [PDF]

Scientific Reports
Optimal Power Flow (OPF) is a highly nonlinear and constrained optimization problem that seeks optimal operating conditions while ensuring secure and efficient power system operation.
Mourad Naidji, Alla Eddine Toubal Maamar, Mohamed Ilyas Rahal, Saad Mekhilef, Mehdi Seyedmahmoudian, Alex Stojcevski   +5 more
doaj   +2 more sources

A comparative study of quantum-inspired PSO and EA with their binary variants for heart disease classification [PDF]

Scientific Reports
Feature selection and hyperparameter optimization are widely used in heart disease prediction, but comparative findings are often affected by differences in preprocessing, search space design, and evaluation budget.
Serkan Örücü
doaj   +2 more sources

Discrete Particle Swarm Optimization for the minimum labelling Steiner tree problem [PDF]

, 2008
Particle Swarm Optimization is an evolutionary method inspired by the social behaviour of individuals inside swarms in nature. Solutions of the problem are modelled as members of the swarm which fly in the solution space.
N. Mladenović, Darby-Dowman, K, Moreno-Pérez, J A, S. Consoli, J. A. Moreno Pérez, Mladenović, N, K. Darby-Dowman, Consoli, S, Moreno-Pérez, JA   +8 more
core   +7 more sources

An adaptive mutation operator for particle swarm optimization [PDF]

, 2008
Copyright @ 2008 MICParticle swarm optimization (PSO) is an effcient tool for optimization and search problems. However, it is easy to betrapped into local optima due to its in-formation sharing mechanism.
Yang, S, Li, C, Korejo, I
core   +6 more sources

Particle filter with swarm move for optimization [PDF]

, 2008
Copyright @ Springer-Verlag Berlin Heidelberg 2008.We propose a novel generalized algorithmic framework to utilize particle filter for optimization incorporated with the swarm move method in particle swarm optimization (PSO).
Yang, S, Ji, Chunlin, Ji, C, Shengxiang Yang, Zhang, Yangyang, Tong, Mengmeng, Tong, M, Mengmeng Tong, Yang, Shengxiang, Zhang, Y, Chunlin Ji, Yangyang Zhang   +11 more
core   +1 more source

Adaptive particle swarm optimization [PDF]

, 2009
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perform a global search over the entire search space with faster convergence ...
Zhan, Z-H., Li, Y., Chung, H.S-H., Zhang, J.   +3 more
core   +1 more source

Particle swarm optimization with composite particles in dynamic environments [PDF]

, 2010
This article is placed here with the permission of IEEE - Copyright @ 2010 IEEEIn recent years, there has been a growing interest in the study of particle swarm optimization (PSO) in dynamic environments.
Yang, S, Yang, Shengxiang, Wang, D, Liu, L   +3 more
core   +1 more source

Orthogonal learning particle swarm optimization [PDF]

, 2010
Particle swarm optimization (PSO) relies on its learning strategy to guide its search direction. Traditionally, each particle utilizes its historical best experience and its neighborhood’s best experience through linear summation.
Zhi-hui Zhan, Jun Zhang, Yu-hui Shi, Zhan, Z-H., Yun Li, Li, Y., Shi, Y-H., Zhang, J.   +7 more
core   +1 more source

A self-learning particle swarm optimizer for global optimization problems [PDF]

, 2011
Copyright @ 2011 IEEE. All Rights Reserved. This article was made available through the Brunel Open Access Publishing Fund.Particle swarm optimization (PSO) has been shown as an effective tool for solving global optimization problems.
Yang, S, Li, Changhe, Nguyen, T. T., null Changhe Li, null Shengxiang Yang, Nguyen, T T, Yang, Shengxiang, Li, C, null Trung Thanh Nguyen   +8 more
core   +1 more source