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» Optimization of Genetic Operators for Scheduling Problems
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MICRO
1990
IEEE
147views Hardware» more  MICRO 1990»
15 years 1 months ago
Motivation and framework for using genetic algorithms for microcode compaction
Genetic algorithms are a robust adaptive optimization technique based on a biological paradigm. They perform efficient search on poorly-defined spaces by maintaining an ordered po...
Steven J. Beaty, Darrell Whitley, Gearold Johnson
SEAL
1998
Springer
15 years 1 months ago
Information Operator Scheduling by Genetic Algorithms
Abstract. In this paper, we discuss an approach to an operator scheduling problem in a large organization over time with the aim of maintaining service quality and reducing total l...
Takeshi Yamada, Kazuyuki Yoshimura, Ryohei Nakano
GECCO
1999
Springer
115views Optimization» more  GECCO 1999»
15 years 1 months ago
A Diversity Study in Genetic Algorithms for Job Shop Scheduling Problems
This paper deals with the study of population diversity in Genetic Algorithms for Job Shop Scheduling Problems. A definition of population diversity at the phenotype level and a ...
Carlos A. Brizuela, Nobuo Sannomiya
CISIM
2008
IEEE
15 years 3 months ago
Tuning Struggle Strategy in Genetic Algorithms for Scheduling in Computational Grids
Job Scheduling on Computational Grids is gaining importance due to the need for efficient large-scale Grid-enabled applications. Among different optimization techniques addressed ...
Fatos Xhafa, Bernat Duran, Ajith Abraham, Keshav P...
EVOW
2004
Springer
15 years 2 months ago
A Comparison of Adaptive Operator Scheduling Methods on the Traveling Salesman Problem
Abstract. The implementation of an evolutionary algorithm necessarily involves the selection of an appropriate set of genetic operators. For many real-world problem domains, an inc...
Wouter Boomsma