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HAIS
2009
Springer
13 years 9 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...
CEC
2010
IEEE
13 years 4 months ago
The differential Ant-Stigmergy Algorithm for large-scale global optimization
— Ant-colony optimization (ACO) is a popular swarm intelligence metaheuristic scheme that can be applied to almost any optimization problem. In this paper, we address a performan...
Peter Korosec, Katerina Taskova, Jurij Silc
GECCO
2000
Springer
133views Optimization» more  GECCO 2000»
13 years 8 months ago
Hybrid Differential Evolution for Dynamic Optimization of a Fedbatch Bioreactor Process
A hybrid method of evolutionary algorithms is introduced in this study. The hybrid method includes two additional operations, acceleration and migrating operations. These two oper...
Feng-Sheng Wang
ASC
2004
13 years 4 months ago
Solving nonconvex climate control problems: pitfalls and algorithm performances
Global optimization can be used as the main component for reliable decision support systems. In this contribution, we explore numerical solution techniques for nonconvex and nondi...
Carmen G. Moles, Julio R. Banga, Klaus Keller
CEC
2008
IEEE
13 years 11 months ago
DEACO: Hybrid Ant Colony Optimization with Differential Evolution
—Ant Colony Optimization (ACO) algorithm is a novel meta-heuristic algorithm for the approximate solution of combinatorial optimization problems that has been inspired by the for...
Xiangyin Zhang, Haibin Duan, Jiqiang Jin