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GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
15 years 3 months ago
Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimization
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...
Saúl Zapotecas Martínez, Carlos A. C...
GECCO
2005
Springer
190views Optimization» more  GECCO 2005»
15 years 7 months ago
An efficient evolutionary algorithm applied to the design of two-dimensional IIR filters
This paper presents an efficient technique of designing twodimensional IIR digital filters using a new algorithm involving the tightly coupled synergism of particle swarm optimiza...
Swagatam Das, Amit Konar, Uday Kumar Chakraborty
ACIVS
2009
Springer
15 years 6 months ago
Engineering of Computer Vision Algorithms Using Evolutionary Algorithms
Abstract. Computer vision algorithms are currently developed by looking up the available operators from the literature and then arranging those operators such that the desired task...
Marc Ebner
GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
15 years 5 months ago
Comparison of multi-modal optimization algorithms based on evolutionary algorithms
Many engineering optimization tasks involve finding more than one optimum solution. The present study provides a comprehensive review of the existing work done in the field of mul...
Gulshan Singh, Kalyanmoy Deb
GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
15 years 7 months ago
Evolutionary optimization of dynamic control problems accelerated by progressive step reduction
In this paper, we describe the use of an evolutionary algorithm (EA) to solve dynamic control optimization problems in engineering. In this class of problems, a set of control var...
Q. Tuan Pham