By adopting modified particle swarm optimization (MPSO), improved particle swarm optimization (IPSO), self-organizing particle swarm optimization (SOH-PSO),

These are original particle swarm optimization (PSO) [ 12 ], the particle evolutionary swarm optimization (PESO) [ 12 ], the constrained handling method of particle swarm

There are different variants of Particle Swarm Optimization (PSO) algorithm such as Adaptive Particle Swarm Optimization (APSO) and Particle Swarm Optimization with an Aging Leader

This paper presents a computational intelligence technique namely: Evolutionary Particle Swarm Optimization (EPSO), Particle Swarm Optimization (PSO), and Evolutionary

This paper presents stochastic search techniques, including Particle Swarm Optimization (PSO), Constriction Coefficient Particle Swarm Optimization (CPSO) and

The various algorithms are used to find optimal PID controller parameters such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) [7-10].Particle Swarm

Jde vidět, že pokud je maximální počet hejn 10 jako na začátku algoritmu, tedy počet se nezvyšuje, algoritmus má mírně lepší výsledky při 10 vrcholech a

Keywords Portfolio Optimization; Profit; Risk; Shanghai Stock Exchange (SSE); Hybrid particle swarm optimization (HPSO); Financial tool box particle swarm optimization (FTB-PSO);

DPSO discrete particle swarm optimization DTSP dynamic travelling salesman problem PACO population ant colony optimization PSO particle swarm optimization TSP travelling

Keywords: FACTS devices, thyristor controlled series capacitor (TCSC), particle swarm optimization (PSO), weight improved particle swarm optimization, available transfer

Abstract: In this paper two optimization techniques Particle Swarm Optimization (PSO) and Sliced Particle Swarm Optimization (SPSO) are used for solving Optimal Power Flow

Abstract — This paper presents the comparison of two evolutionary methods Particle Swarm Optimization (PSO) and Multi-Agent Particle Swarm Optimization (MAPSO) for

Keywords: cloud computing, scheduling, particle swarm optimization (PSO), genetic

This paper discusses sensor deployment using Random; Particle Swarm Optimization (PSO) and grid based MDBPSO (Modified Discrete Binary Particle Swarm Optimization)

Particle Swarm Optimization technique (PSO) is implemented to achieve bandwidth optimization. Each particle in the swarm identifies an optimal path for required

Therefore Enhanced Darwinian Particle Swarm Optimization (EDPSO) is proposed for automated tumor segmentation which overcomes the drawback of existing Particle

Particle Swarm Optimization: Zwe-Lee Gaing (60) suggested a Particle Swarm Optimization (PSO) algorithm for solving the economic dispatch problem considering ramp -rate

Keywords: Particle Swarm Optimization (PSO), Linearly Decreasing Weight PSO (LDW-PSO), Supervisor Student Model in PSO (SSM-PSO), PSO with Time Varying Acceleration