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» Optimization of Genetic Operators for Scheduling Problems
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GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
15 years 5 months ago
A genetic algorithm for unmanned aerial vehicle routing
Genetic Algorithms (GAs) can efficiently produce high quality results for hard combinatorial real world problems such as the Vehicle Routing Problem (VRP). Genetic Vehicle Represe...
Matthew A. Russell, Gary B. Lamont
DAC
2010
ACM
15 years 3 months ago
A probabilistic and energy-efficient scheduling approach for online application in real-time systems
This work considers the problem of minimizing the power consumption for real-time scheduling on processors with discrete operating modes. We provide a model for determining the ex...
Thorsten Zitterell, Christoph Scholl
CORR
2011
Springer
188views Education» more  CORR 2011»
14 years 6 months ago
Digraph description of k-interchange technique for optimization over permutations and adaptive algorithm system
The paper describes a general glance to the use of element exchange techniques for optimization over permutations. A multi-level description of problems is proposed which is a fund...
Mark Sh. Levin
ISDA
2009
IEEE
15 years 6 months ago
Valley-Adaptive Clearing Scheme for Multimodal Optimization Evolutionary Search
Recent studies [13, 18] have shown that clearing schemes are efficient multi-modal optimization methods. They efficiently reduce genetic drift which is the direct reason for prema...
Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong
HPCC
2007
Springer
15 years 6 months ago
A Complex Network-Based Approach for Job Scheduling in Grid Environments
Many optimization techniques have been adopted for efficient job scheduling in grid computing, such as: genetic algorithms, simulated annealing and stochastic methods. Such techni...
Renato Porfirio Ishii, Rodrigo Fernandes de Mello,...