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» Adaptive Particle Swarm Optimization
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SGAI
2009
Springer
14 years 3 days ago
Improving Cooperative PSO using Fuzzy Logic
PSO is a population-based technique for optimization, which simulates the social behavior of the fish schooling or bird flocking. Two significant weaknesses of this method are: fir...
Zahra Afsahi, Mohammad Reza Meybodi
PPSN
2004
Springer
14 years 28 days ago
Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic Algorithms
Cancer chemotherapy is a complex treatment mode that requires balancing the benefits of treating tumours using anti-cancer drugs with the adverse toxic side-effects caused by these...
Andrei Petrovski, Bhavani Sudha, John A. W. McCall
JCP
2008
97views more  JCP 2008»
13 years 7 months ago
Vocal Tract Area Function Estimation Using Particle Swarm
-- The problem of estimating the Vocal Tract Area Functions (VTAF) from speech signals arise in many applications. However, the existing methods for solving this problem were desig...
Mahmoud A. Ismail
GECCO
2007
Springer
124views Optimization» more  GECCO 2007»
14 years 1 months ago
Origin of bursts
The phenomenon of particle bursts, a well-known feature of PSO is investigated. Their origin is concluded to lie in multiplicative stochasticity, previously encountered in the stu...
Tim Blackwell, Daniel Bratton
GECCO
2005
Springer
197views Optimization» more  GECCO 2005»
14 years 1 months ago
Breeding swarms: a GA/PSO hybrid
Abstract. In this paper we propose a novel hybrid (GA/PSO) algorithm, Breeding Swarm, combining the strengths of particle swarm optimization with genetic algorithms. The hybrid alg...
Matthew Settles, Terence Soule