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Particle Swarm Optimizer

Concentric Circular Antenna Array Synthesis Using Comprehensive Learning Particle Swarm Optimizer

Concentric Circular Antenna Array Synthesis Using Comprehensive Learning Particle Swarm Optimizer

... Abstract—Concentric circular antenna array (CCAA) is synthesized to generate pencil beam with minimum side lobe level (SLL). The comprehensive learning particle swarm optimizer (CLPSO) is used for ...

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A levy flight particle swarm optimizer for machining performances optimization

A levy flight particle swarm optimizer for machining performances optimization

... the particle swarm optimization (PSO) ...flight particle swarm optimizer (LPSO) to determine and analyze the optimal cutting parameters are described in the later ...

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Multibeam Antennas Array Pattern Synthesis using Hybrid Particle Swarm Optimizer with Breeding and Subpopulations Algorithm

Multibeam Antennas Array Pattern Synthesis using Hybrid Particle Swarm Optimizer with Breeding and Subpopulations Algorithm

... hybrid particle swarm optimizer with breeding and subpopulation is ...the swarm intelligence and from the interaction among particles ...

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Baldwin Effect based Particle Swarm Optimizer for Multimodal Optimization

Baldwin Effect based Particle Swarm Optimizer for Multimodal Optimization

... By incorporating a novel Baldwin effect based learning strategy into particle swarm optimizer, a novel algorithm termed BELPSO, is presented for solving complex multimodal problems. BELPSO was ...

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Comparison of offshore wind farm layout optimization using a genetic algorithm and a particle swarm optimizer

Comparison of offshore wind farm layout optimization using a genetic algorithm and a particle swarm optimizer

... This article explores the application of a binary genetic al- gorithm and a binary particle swarm optimizer to the optimiza- tion of an o ff shore wind farm layout. The framework developed as part of ...

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Grammatical Differential Evolution Adaptable Particle Swarm Optimizer for Artificial Neural Network Training

Grammatical Differential Evolution Adaptable Particle Swarm Optimizer for Artificial Neural Network Training

... Abstract — In this paper, Grammatical Differential Evolution (GDE) Adaptable Particle Swarm Optimizer (GDE-APSO) is applied in training of Feed –Forward Neural Network (FNN). The error function of ...

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A New Mutated Quantum-Behaved Particle Swarm Optimizer for Digital IIR Filter Design

A New Mutated Quantum-Behaved Particle Swarm Optimizer for Digital IIR Filter Design

... Quantum-behaved particle swarm optimization (QPSO) that was proposed by us previously, and its mutated version in the design of digital IIR ...and particle swarm optimization (PSO) ...

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A new binary particle swarm optimizer to select a smaller subset of genes for leukaemia cancer classification

A new binary particle swarm optimizer to select a smaller subset of genes for leukaemia cancer classification

... Experimental results show that the performance of the proposed method is superior to the experimental method and other related previous works in terms of classification accura[r] ...

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Comparison of Several Improved Versions of Particle Swarm Optimizer Algorithm for Parameter Estimation of Squirrel-Cage Induction Motors

Comparison of Several Improved Versions of Particle Swarm Optimizer Algorithm for Parameter Estimation of Squirrel-Cage Induction Motors

... a particle carries between iteration can be controlled by a parameter w that multiplied by the particle’s current velocity, as it can be seen in Equation ...

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Solving Engineering Optimization Problems with the Simple Constrained Particle Swarm Optimizer

Solving Engineering Optimization Problems with the Simple Constrained Particle Swarm Optimizer

... the particle with the lower infeasi- bility degree; 3) if one particle is feasible and the other is infeasible, we choose the feasible ...each particle saves its infeasibility degree reached until ...

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A Three-Dimensional Time Domain Microwave Imaging Method for Breast Cancer Detection Based on an Evolutionary Algorithm

A Three-Dimensional Time Domain Microwave Imaging Method for Breast Cancer Detection Based on an Evolutionary Algorithm

... Global optimization techniques such as Genetic Algorithm (GA) [19, 20], Differential Evolution (DE) [21] and Particle Swarm Optimizer (PSO) [22, 23] can avoid the problem of local minima[r] ...

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Hybridization of Evolutionary Computation Techniques for Job Scheduling Problem

Hybridization of Evolutionary Computation Techniques for Job Scheduling Problem

... Particle swarm optimization (PSO) is a population based stochastic optimization technique, inspired by social behaviour of bird flocking or fish ...Each particle keeps track of its coordinates in the ...

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A Novel PSO Algorithm Model Based on Population Migration Strategy and its Application

A Novel PSO Algorithm Model Based on Population Migration Strategy and its Application

... a swarm of candidate solutions, referred to as particles, they are members in the population, have their own positions and velocities, they fly around the problem space in the swarms searching for the position of ...

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II. PROBLEM DESCRIPTION A. Network Topology Control [1][2][3]

II. PROBLEM DESCRIPTION A. Network Topology Control [1][2][3]

... adopts Particle Swarm Optimizer (PSO) algorithm to optimize the ...optimal particle to search in the particle space rather than the crossover and mutation of genetic ...

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Fusion global-local-topology particle swarm optimization for global optimization problems

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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OPTIMIZATION OF MULTI-OBJECTVE FACILITY LAYOUT USING NON-TRADITIONAL OPTIMIZATION TECHNIQUE

OPTIMIZATION OF MULTI-OBJECTVE FACILITY LAYOUT USING NON-TRADITIONAL OPTIMIZATION TECHNIQUE

... problem, the number of feasible layouts will grow exponentially, even for small increment in problem size. As a result, it is impossible to solve large size problem optimally. Hence, we should resort to heuristic ...

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Optimal Capacitor Allocation in 69-bus Radial Distribution System to Improve Annual Cost Savings for Dynamic Load Sarath Bapu R S S 1, Chandra Prakash V2 , Dr. S.M.Kannan 3

Optimal Capacitor Allocation in 69-bus Radial Distribution System to Improve Annual Cost Savings for Dynamic Load Sarath Bapu R S S 1, Chandra Prakash V2 , Dr. S.M.Kannan 3

... Particle swarm optimization is a population based stochastic optimization technique developed by Dr. Eberhart and Dr. Kennedy in 1995, inspired by social behavior of bird flocking or fish schooling. It was ...

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Hybrid Coevolutionary Particle Swarm Optimization for Linear Variational Inequality Problems

Hybrid Coevolutionary Particle Swarm Optimization for Linear Variational Inequality Problems

... of the swarm, performance of PSO is significantly improved. Clerc [14] presented constriction PSO where a constriction factor was introduced into PSO to control the magnitude of velocities. It was mathematically ...

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Storage planning of automated pharmacy based on an improved adaptive chaotic particle swarm optimization algorithm

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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Cross-layer Packet-dependant OFDM Scheduling Based on Proportional Fairness

Cross-layer Packet-dependant OFDM Scheduling Based on Proportional Fairness

... fish swarm algorithm, self-adaptive particle swarm optimization algorithm and cloud adaptive particle swarm optimization algorithm into sub-carrier allocation in packet-dependant ...

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