منابع مشابه
Particle Swarm Optimization
At its meeting in Savannah, Georgia on February 14th, the IEEE Technical Activities Board voted overwhelmingly in favor of the Neural Networks Society's motion to change its name to the COMPUTATIONAL INTELLIGENCE SOCIETY. To become official, the name needs to be approved by the Board of Directors which is expected to meet on June 20, 2004. As many of you may remember, the motion to change NNS's...
متن کاملPolymorphic Particle Swarm Optimization
In recent years a swarm-based optimization methodology called Particle Swarm Optimization (PSO) has developed. If one wants to apply PSO one has to specify several parameters as well as to select a neighborhood topology. Several topologies being widely used can be found in literature. This raises the question, which one fits best to your application at hand. To get rid of this topology selectio...
متن کاملOrthogonal Particle Swarm Optimization
The Orthogonal arrays are helpful in guiding the heuristic algorithms to obtain a good solution when applied to NP-hard problems. This chapter deals with a new variant of PSO named Orthogonal PSO (OPSO) for solving the multiprocessor scheduling problem. The objective of applying the orthogonal concept in the basic PSO algorithm is to enhance the performance when applied to the scheduling proble...
متن کاملDarwinian Particle Swarm Optimization
Particle Swarm Optimization (PSO), an evolutionary algorithm for optimization is extended to determine if natural selection, or survival-of-thefittest, can enhance the ability of the PSO algorithm to escape from local optima. To simulate selection, many simultaneous, parallel PSO algorithms, each one a swarm, operate on a test problem. Simple rules are developed to implement selection. The abil...
متن کاملParticle Swarm Optimization
Particle Swarm Optimization is an algorithm capable of optimizing a non-linear and multidimensional problem which usually reaches good solutions efficiently while requiring minimal parameterization. The algorithm and its concept of “Particle Swarm Optimization”(PSO) were introduced by James Kennedy and Russel Ebhart in 1995 [4]. However, its origins go further backwards since the basic principl...
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ژورنال
عنوان ژورنال: Journal of Applied & Computational Mathematics
سال: 2013
ISSN: 2168-9679
DOI: 10.4172/2168-9679.1000133