A novel particle swarm optimization algorithm with Levy flight
Particle swarm optimization (PSO) is one of the well-known population-based techniques
used in global optimization and many engineering problems. Despite its simplicity and …
used in global optimization and many engineering problems. Despite its simplicity and …
A new particle swarm algorithm and its globally convergent modifications
H Gao, W Xu - IEEE Transactions on Systems, Man, and …, 2011 - ieeexplore.ieee.org
Particle swarm optimization (PSO) is a population-based optimization technique that can be
applied to a wide range of problems. Here, we first investigate the behavior of particles in the …
applied to a wide range of problems. Here, we first investigate the behavior of particles in the …
Efficient population utilization strategy for particle swarm optimizer
ST Hsieh, TY Sun, CC Liu… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
The particle swarm optimizer (PSO) is a population-based optimization technique that can
be applied to a wide range of problems. This paper presents a variation on the traditional …
be applied to a wide range of problems. This paper presents a variation on the traditional …
Feedback learning particle swarm optimization
In this paper, a feedback learning particle swarm optimization algorithm with quadratic
inertia weight (FLPSO-QIW) is developed to solve optimization problems. The proposed …
inertia weight (FLPSO-QIW) is developed to solve optimization problems. The proposed …
Adaptive fuzzy particle swarm optimization for global optimization of multimodal functions
YT Juang, SL Tung, HC Chiu - Information Sciences, 2011 - Elsevier
This paper proposes an adaptive fuzzy PSO (AFPSO) algorithm, based on the standard
particle swarm optimization (SPSO) algorithm. The proposed AFPSO utilizes fuzzy set theory …
particle swarm optimization (SPSO) algorithm. The proposed AFPSO utilizes fuzzy set theory …
A new initialization approach in particle swarm optimization for global optimization problems
Particle swarm optimization (PSO) algorithm is a population‐based intelligent stochastic
search technique used to search for food with the intrinsic manner of bee swarming. PSO is …
search technique used to search for food with the intrinsic manner of bee swarming. PSO is …
Non-parametric particle swarm optimization for global optimization
Z Beheshti, SM Shamsuddin - Applied Soft Computing, 2015 - Elsevier
In recent years, particle swarm optimization (PSO) has extensively applied in various
optimization problems because of its simple structure. Although the PSO may find local …
optimization problems because of its simple structure. Although the PSO may find local …
A scatter learning particle swarm optimization algorithm for multimodal problems
Z Ren, A Zhang, C Wen, Z Feng - IEEE transactions on …, 2013 - ieeexplore.ieee.org
Particle swarm optimization (PSO) has been proved to be an effective tool for function
optimization. Its performance depends heavily on the characteristics of the employed …
optimization. Its performance depends heavily on the characteristics of the employed …
A multi-swarm self-adaptive and cooperative particle swarm optimization
J Zhang, X Ding - Engineering applications of artificial intelligence, 2011 - Elsevier
In this paper, a Multi-Swarm Self-Adaptive and Cooperative Particle Swarm Optimization
(MSCPSO) based on four sub-swarms is presented. In the proposed algorithm, several …
(MSCPSO) based on four sub-swarms is presented. In the proposed algorithm, several …
A two-layer surrogate-assisted particle swarm optimization algorithm
Like most evolutionary algorithms, particle swarm optimization (PSO) usually requires a
large number of fitness evaluations to obtain a sufficiently good solution. This poses an …
large number of fitness evaluations to obtain a sufficiently good solution. This poses an …