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» A New Approach to Improve Particle Swarm Optimization
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ASIAMS
2008
IEEE
15 years 6 months ago
Optimization of a Kraft Pulping System: Using Particle Swarm Optimization and Differential Evolution
Expectation of profit is the economic driving force motivating business activity in a free-enterprise economy. An increase in this profit for a given organization can be accomplis...
Millie Pant, Radha Thangaraj, Ajith Abraham
ASC
2006
15 years 1 months ago
Optimal phase shifter coordination: A multidimensional problem
In a liberalized electricity market, the use of phase shifting transformers or other power flow controlling devices allows the transmission system operator to utilize the availabl...
Jody Verboomen, Dirk Van Hertem, Ronnie Belmans, P...
GECCO
2006
Springer
210views Optimization» more  GECCO 2006»
15 years 3 months ago
Adaptive diversity in PSO
Spatial Extension PSO (SEPSO) and Attractive-Repulsive PSO (ARPSO) are methods for artificial injection of diversity into particle swarm optimizers that are intended to encourage ...
Christopher K. Monson, Kevin D. Seppi
TSMC
2008
189views more  TSMC 2008»
14 years 11 months ago
Automatic Clustering Using an Improved Differential Evolution Algorithm
Differential evolution (DE) has emerged as one of the fast, robust, and efficient global search heuristics of current interest. This paper describes an application of DE to the aut...
Swagatam Das, Ajith Abraham, Amit Konar
ICPR
2010
IEEE
15 years 4 months ago
Maximum Likelihood Estimation of Gaussian Mixture Models Using Particle Swarm Optimization
—We present solutions to two problems that prevent the effective use of population-based algorithms in clustering problems. The first solution presents a new representation for ...
Caglar Ari, Selim Aksoy