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NC
2002
210views Neural Networks» more  NC 2002»
13 years 6 months ago
Recent approaches to global optimization problems through Particle Swarm Optimization
This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detectin...
Konstantinos E. Parsopoulos, Michael N. Vrahatis
ASIAMS
2008
IEEE
14 years 1 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
CEC
2009
IEEE
14 years 1 months ago
An adaptive coevolutionary Differential Evolution algorithm for large-scale optimization
— In this paper, we propose a new algorithm, named JACC-G, for large scale optimization problems. The motivation is to improve our previous work on grouping and adaptive weightin...
Zhenyu Yang, Jingqiao Zhang, Ke Tang, Xin Yao, Art...
TEC
2011
134views more  TEC 2011»
13 years 1 months ago
Differential Evolution: A Survey of the State-of-the-Art
—Differential evolution (DE) is arguably one of the most powerful stochastic real-parameter optimization algorithms in current use. DE operates through similar computational step...
Swagatam Das, Ponnuthurai Nagaratnam Suganthan
HAIS
2009
Springer
13 years 11 months ago
Hybrid Evolutionary Algorithm for Solving Global Optimization Problems
Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ranked...
Radha Thangaraj, Millie Pant, Ajith Abraham, Youak...