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» Particle Swarms for Multimodal Optimization
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WCE
2007
13 years 10 months ago
Modified Memory Convergence with Fuzzy PSO
—Associative neural memories are models of biological phenomena that allow for the storage of pattern associations and the retrieval of the desired output pattern upon presentati...
Subhash Chandra Pandey, P. K. Mishra
ISDA
2008
IEEE
14 years 3 months ago
Towards a Suitable Reconciliation of the Findings in Collaborative Fuzzy Clustering
This study is concerned with the application of multi-objective particle swarm optimization (MOPSO) approaches to the framework of collaborative fuzzy clustering. In particular, t...
Rafael Falc, Benoît Depaire, Koen Vanhoof, A...
SGAI
2009
Springer
14 years 1 months 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 2 months 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 9 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