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ISICA
2007
Springer
14 years 2 months ago
A Fast Particle Swarm Optimization Algorithm with Cauchy Mutation and Natural Selection Strategy
The standard Particle Swarm Optimization (PSO) algorithm is a novel evolutionary algorithm in which each particle studies its own previous best solution and the group’s previous ...
Changhe Li, Yong Liu, Aimin Zhou, Lishan Kang, Hui...
CEC
2008
IEEE
14 years 3 months ago
Dynamic adaptation and multiobjective concepts in a particle swarm optimizer for constrained optimization
— In this paper, we propose a novel approach to solve constrained optimization problems based on particle swarm optimization (PSO). First, an empirical comparison of the most pop...
Jorge Isacc Flores-Mendoza, Efrén Mezura-Mo...
GECCO
2004
Springer
244views Optimization» more  GECCO 2004»
14 years 2 months ago
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
In this paper, we present an extension of the heuristic called “particle swarm optimization” (PSO) that is able to deal with multiobjective optimization problems. Our approach ...
Gregorio Toscano Pulido, Carlos A. Coello Coello
EOR
2007
159views more  EOR 2007»
13 years 8 months ago
Solving the semi-desirable facility location problem using bi-objective particle swarm
In this paper, a new model for the semi-obnoxious facility location problem is introduced. The new model is composed of a weighted minisum function to represent the transportation...
Haluk Yapicioglu, Alice E. Smith, Gerry V. Dozier
WCNC
2008
IEEE
14 years 3 months ago
Using Swarm Intelligence and Bayesian Inference for Aircraft Interrogation
: Sensor management deals with the efficient resource allocation to meet mission objectives of the application, air traffic control. A schedule for the sensors is constructed, whic...
Ganapathi Kamath, Xiang Ye, Lisa Ann Osadciw