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» Evolutionary Algorithms for the Satisfiability Problem
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IIS
2000
15 years 1 months ago
Speeding Up Evolution through Learning: LEM
This paper reports briefly on the development of a new approach to evolutionary computation, called the Learnable Evolution Model or LEM. In contrast to conventional Darwinian-typ...
Ryszard S. Michalski, Guido Cervone, Kenneth A. Ka...
GECCO
2004
Springer
105views Optimization» more  GECCO 2004»
15 years 5 months ago
Reducing the Cost of the Hybrid Evolutionary Algorithm with Image Local Response in Electronic Imaging
Abstract. The paper focuses on the efficiency of the hybrid evolutionary algorithm (HEA) for solving the global optimization problem arising in electronic imaging. The particular v...
Igor V. Maslov
CEC
2009
IEEE
15 years 6 months ago
A clustering multi-objective evolutionary algorithm based on orthogonal and uniform design
Abstract— Designing efficient algorithms for difficult multiobjective optimization problems is a very challenging problem. In this paper a new clustering multi-objective evolut...
Yuping Wang, Chuangyin Dang, Hecheng Li, Lixia Han...
GECCO
2006
Springer
134views Optimization» more  GECCO 2006»
15 years 3 months ago
Reference point based multi-objective optimization using evolutionary algorithms
: Evolutionary multi-objective optimization (EMO) methodologies have been amply applied to find a representative set of Pareto-optimal solutions in the past decade and beyond. Alth...
Kalyanmoy Deb, J. Sundar
CEC
2007
IEEE
15 years 6 months ago
Multi-objective strip packing using an evolutionary algorithm
— Good algorithms exist for solving the strip packing problem when the objective is to minimise the amount of wasted material. We describe a multi-objective evolutionary algorith...
Simon Illich, R. Lyndon While, Luigi Barone