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» Optimization of Genetic Operators for Scheduling Problems
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INFOCOM
2006
IEEE
15 years 5 months ago
Super-Fast Delay Tradeoffs for Utility Optimal Fair Scheduling in Wireless Networks
— We consider the fundamental delay tradeoffs for utility optimal scheduling in a general network with time varying channels. A network controller acts on randomly arriving data ...
Michael J. Neely
ENGL
2008
118views more  ENGL 2008»
14 years 12 months ago
Hybrid Architecture of Genetic Algorithm and Simulated Annealing
This paper discusses novel dedicated hardware architecture for hybrid optimization based on Genetic algorithm (GA) and Simulated Annealing (SA). The proposed architecture achieves ...
Masaya Yoshikawa, Hironori Yamauchi, Hidekazu Tera...
GECCO
2000
Springer
122views Optimization» more  GECCO 2000»
15 years 3 months ago
Genetic Programming with Statically Scoped Local Variables
This paper presents an extension to genetic programming to allow the evolution of programs containing local variables with static scope which obey the invariant that all variables...
Evan Kirshenbaum
CPAIOR
2004
Springer
15 years 5 months ago
Simple Rules for Low-Knowledge Algorithm Selection
This paper addresses the question of selecting an algorithm from a predefined set that will have the best performance on a scheduling problem instance. Our goal is to reduce the e...
J. Christopher Beck, Eugene C. Freuder
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
15 years 3 months ago
Genetic programming with primitive recursion
When Genetic Programming is used to evolve arithmetic functions it often operates by composing them from a fixed collection of elementary operators and applying them to parameters...
Stefan Kahrs