منابع مشابه
Particle swarm optimization An overview
Particle swarm optimization (PSO) has undergone many changes since its introduction in 1995. As researchers have learned about the technique, they have derived new versions, developed new applications, and published theoretical studies of the effects of the various parameters and aspects of the algorithm. This paper comprises a snapshot of particle swarming from the authors’ perspective, includ...
متن کاملMulti-Objective Particle Swarm Optimization Algorithms – A Leader Selection Overview
Multi Objective Optimization (MOO) problem involves simultaneous minimization or maximization of many objective functions. Various MOO algorithms have been introduced to solve the MOO problem. Traditional gradient-based techniques are one of the methods used to solve MOO problems. However, in the traditional gradient-based technique only one solution is generated. Thus, an alternative approach ...
متن کاملParticle 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 کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Indian Journal of Science and Technology
سال: 2015
ISSN: 0974-5645,0974-6846
DOI: 10.17485/ijst/2015/v8i32/87749