Particle swarm
Parallel Implementation of Particle Swarm Optimization Variants Using Graphics Processing Unit Platform
... of Particle Swarm Optimization (PSO) algorithm such as Adaptive Particle Swarm Optimization (APSO) and Particle Swarm Optimization with an Aging Leader and Challengers ...
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Storage planning of automated pharmacy based on an improved adaptive chaotic particle swarm optimization algorithm
... and particle swarm optimization algorithm were ...the particle swarm was enhanced by using the ergodicity of the chaos motion to initialize the ...chaotic particle swarm ...
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A chaotic simulated annealing and particle swarm improved artificial immune algorithm for flexible job shop scheduling problem
... and particle swarm optimization algorithm is taken as the operator to embed into manual immune algorithm for maintaining the diversity of population and prevent obtaining local optimal ...
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SENSOR DEPLOYMENT USING PARTICLE SWARM OPTIMIZATION
... Particle Swarm Optimization (PSO) is a population based stochastic search technique introduced by Kennedy and Eberhart in 1995 [Eberhart ...on particle swarm and parallel global random ...of ...
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Hybrid Coevolutionary Particle Swarm Optimization for Linear Variational Inequality Problems
... coevolutionary particle swarm optimization is used to solve linear variational inequality, which sufficiently exerts the advantage of particle swarm optimization such as group search, global ...
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Constraint Optimization For Nurse Rostering Using Particle Swarm Optimization With Global Optimum Test Function
... LIST OF ABBREVIATIONS Co-PSO- Constraint Optimization for Nurse Rostering using Particle Swarm Optimization with Global Optimum Test Function PSO- Particle swarm optimization AI- Artific[r] ...
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Harmonic Suppression Method Based on Immune Particle Swarm Optimization Algorithm in Micro Grid
... algorithm, particle swarm optimization algorithm, and a variety of evolutionary programming ...[7]. Particle Swarm Optimization (PSO) is a global stochastic optimization algorithm proposed by ...
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PID Controller Optimization for Rotational Inverted Pendulum System Using Particle Swarm Optimization and Differential Evolution Algorithms
... GA deficiencies such as similarity in structure of chromosomes (Kennedy et al., 1995; Gaing, 2004) is improved, using a novel global search strategy, called Particle Swarm Optimization (PSO) algorithm. PSO ...
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Optimization of a Five Echelon Supply Chain Network using Particle Swarm Intelligence Algorithms
... nature. Particle swarm intelligence optimization (PSO) is an evolutionary algorithm developed by Eberhart and Kennedy in 1995 that mimics the behavior of swarm of birds or school of ...
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Radial Basis Function Neural Network Trained by Adaptive Chaotic Particle Swarm Optimization to Control Nonlinear Systems
... Chaotic particle swarm optimization (CPSO) is a newly developed optimization technique which combines the benefits of particle swarm optimization (PSO) and the chaotic ...each particle ...
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Fusion global-local-topology particle swarm optimization for global optimization problems
... each particle is affected by the best-fitness particles of the entire population in the search space while each particle is influenced by the best-fitness particles of its neighborhood in the local ...
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A. Binary Particle Swarm Optimization
... Binary particle swarm optimization (BPSO) has been applied successfully in solving feature selection ...binary particle swarm optimization (CBPSO) with logistic map for determining the inertia ...
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Overview of Particle Swarm Optimization
... ABSTRACT: This paper proposes the application of Particle Swarm Optimization (PSO) technique to solve Optimal Power Flow with inequality constraints on Line Flow. To ensure secured operation of power ...
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Applications of Particle Swarm Optimization
... on Particle Swarm Optimization and simple software agents so called particles, move in the explore breathing space of an optimization ...a particle represents a solution to the optimization problem ...
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EHPSO: An Enhanced Hybrid Particle Swarm Optimization Algorithm for Internet of Things
... The Particle Swarm Algorithm, an evolutionary intelligence algorithm, was first proposed by Kennedy and Eberhart in 1995 . Comparing to other algorithms, it has many advantages. For instance, it is not easy ...
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Particle Swarm Model Selection
... This paper proposes the application of particle swarm optimization (PSO) to the problem of full model selection, FMS, for classification tasks. FMS is defined as follows: given a pool of pre- processing ...
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Review of Particle Swarm Optimization Techniques
... introduced Particle Swarm Optimization with Time Varying Acceleration Coefficients (PSOTVAC)[6] in 2004 to control the local search and convergence to the global optimum ...
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A Hardware Architecture of Particle Swarm Optimization
... Particle Swarm Optimization (PSO), a new stochastic heuristic algorithm which originally presented by Eberhard and Kennedy in 1995 [1], can be employed into non-linear application to find an optimal ...
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A Survey on Economic Load Dispatch Problem Using Particle Swarm Optimization Technique
... Conventional methods have simple mathematical model and high search speed but they are failed to solve such problem because they have the drawbacks of Multiple local minimum points in the cost function, Algorithms ...
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Genetic learning particle swarm optimization
... in particle swarm optimiza- tion (PSO) helps collective efficiency, whereas individual repro- duction in genetic algorithm (GA) facilitates global ...for particle updates as per a normal PSO ...
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