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CEC
2008
IEEE
13 years 11 months ago
Solving large scale global optimization using improved Particle Swarm Optimizer
—As more and more real-world optimization problems become increasingly complex, algorithms with more capable optimizations are also increasing in demand. For solving large scale ...
Sheng-Ta Hsieh, Tsung-Ying Sun, Chan-Cheng Liu, Sh...
GECCO
2004
Springer
106views Optimization» more  GECCO 2004»
13 years 10 months ago
The Kalman Swarm: A New Approach to Particle Motion in Swarm Optimization
Abstract. Particle Swarm Optimization is gaining momentum as a simple and effective optimization technique. We present a new approach to PSO that significantly reduces the number...
Christopher K. Monson, Kevin D. Seppi
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
13 years 10 months ago
MeSwarm: memetic particle swarm optimization
In this paper, a novel variant of particle swarm optimization (PSO), named memetic particle swarm optimization algorithm (MeSwarm), is proposed for tackling the overshooting probl...
Bo-Fu Liu, Hung-Ming Chen, Jian-Hung Chen, Shiow-F...
ICDIM
2008
IEEE
13 years 11 months ago
Hybrid differential evolution - Particle Swarm Optimization algorithm for solving global optimization problems
This paper presents a simple, hybrid two phase global optimization algorithm called DE-PSO for solving global optimization problems. DE-PSO consists of alternating phases of Diffe...
Millie Pant, Radha Thangaraj, Crina Grosan, Ajith ...
HIS
2007
13 years 6 months ago
New Particle Swarm Optimization Algorithm Incorporating Reproduction Operator for Solving Global Optimization Problems
This paper presents a new variant of Basic Particle Swarm Optimization (BPSO) algorithm named QI-PSO for solving global optimization problems. The QI-PSO algorithm makes use of a ...
Millie Pant, Radha Thangaraj, Ajith Abraham