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» Optimization of Genetic Operators for Scheduling Problems
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IPPS
2007
IEEE
15 years 6 months ago
Optimizing Sorting with Machine Learning Algorithms
The growing complexity of modern processors has made the development of highly efficient code increasingly difficult. Manually developing highly efficient code is usually expen...
Xiaoming Li, María Jesús Garzar&aacu...
ECRTS
2010
IEEE
15 years 27 days ago
Minimizing Multi-resource Energy for Real-Time Systems with Discrete Operation Modes
Energy conservation is an important issue in the design of embedded systems. Dynamic Voltage Scaling (DVS) and Dynamic Power Management (DPM) are two widely used techniques for sav...
Fanxin Kong, Yiqun Wang, Qingxu Deng, Wang Yi
EAAI
2007
154views more  EAAI 2007»
14 years 11 months ago
An agent-based approach to solve dynamic meeting scheduling problems with preferences
Multi-agent systems are widely used to address large-scale distributed combinatorial applications in the real world. One such application is meeting scheduling (MS), which is de...
Ahlem Ben Hassine, Tu Bao Ho
EUROGP
2003
Springer
119views Optimization» more  EUROGP 2003»
15 years 5 months ago
Maximum Homologous Crossover for Linear Genetic Programming
We introduce a new recombination operator, the Maximum Homologous Crossover for Linear Genetic Programming. In contrast to standard crossover, it attempts to preserve similar struc...
Michael Defoin-Platel, Manuel Clergue, Philippe Co...
GECCO
2007
Springer
326views Optimization» more  GECCO 2007»
15 years 6 months ago
Binary differential evolution for the unit commitment problem
The Unit Commitment Problem (UCP) is the task of finding an optimal turn on and turn off schedule for a group of power generation units over a given time horizon to minimize ope...
Ali Keles