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ISDA
2008
IEEE
13 years 11 months ago
Inertia-Adaptive Particle Swarm Optimizer for Improved Global Search
This paper describes a method for improving the final accuracy and the convergence speed of Particle Swarm Optimization (PSO) by adapting its inertia factor in the velocity updati...
Kaushik Suresh, Sayan Ghosh, Debarati Kundu, Abhir...
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...
ANOR
2007
166views more  ANOR 2007»
13 years 4 months ago
Memetic particle swarm optimization
Abstract We propose a new Memetic Particle Swarm Optimization scheme that incorporates local search techniques in the standard Particle Swarm Optimization algorithm, resulting in a...
Y. G. Petalas, Konstantinos E. Parsopoulos, Michae...
GECCO
2005
Springer
112views Optimization» more  GECCO 2005»
13 years 10 months ago
Two improved differential evolution schemes for faster global search
Differential evolution (DE) is well known as a simple and efficient scheme for global optimization over continuous spaces. In this paper we present two new, improved variants of D...
Swagatam Das, Amit Konar, Uday Kumar Chakraborty
ICMLA
2004
13 years 6 months ago
A new discrete binary particle swarm optimization based on learning automata
: The particle swarm is one of the most powerful methods for solving global optimization problems. This method is an adaptive algorithm based on social-psychological metaphor. A po...
Reza Rastegar, Mohammad Reza Meybodi, Kambiz Badie