2005
DOI: 10.1007/s10898-003-6454-x
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A Study of Global Optimization Using Particle Swarms

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Cited by 328 publications
(124 citation statements)
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“…A value of V max which is maximum velocity of particles is considered. With increasing of iteration of computations, the V max is kept decreasing linearly [32]. Linearly Decreasing Inertia Weight Method (LDIWM)…”
Section: Routers Replacement Methodmentioning
confidence: 99%
“…A value of V max which is maximum velocity of particles is considered. With increasing of iteration of computations, the V max is kept decreasing linearly [32]. Linearly Decreasing Inertia Weight Method (LDIWM)…”
Section: Routers Replacement Methodmentioning
confidence: 99%
“…A value of V max which is maximum velocity of particles is considered. With increasing of iteration of computations, the V max is kept decreasing linearly [33]. In this work, we apply this method to optimize the weight-coefficients of SGC and NCMC.…”
Section: Rational Decrement Of Vmax Methods (Rdvm)mentioning
confidence: 99%
“…The particle swarm model helps to find optimal regions of complex search spaces through interaction of individuals in a population of particles [6]. It has exhibited good performance across a wide range of applications [7,8,9,10,11].…”
Section: Introductionmentioning
confidence: 99%