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» GSA: scheduling and allocation using genetic algorithm
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HPCC
2007
Springer
15 years 5 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,...
CORR
2011
Springer
184views Education» more  CORR 2011»
14 years 3 months ago
Resource CoAllocation for Scheduling Tasks with Dependencies, in Grid
Scheduling applications on wide-area distributed systems is useful for obtaining quick and reliable results in an efficient manner. Optimized scheduling algorithms are fundamental...
Diana Moise, Eliza Moise, Florin Pop, Valentin Cri...
CCGRID
2009
IEEE
15 years 6 months ago
Reliability-Oriented Genetic Algorithm for Workflow Applications Using Max-Min Strategy
— To optimize makespan and reliability for workflow applications, most existing works use list heuristics rather than genetic algorithms (GAs) which can usually give better solut...
Xiaofeng Wang, Rajkumar Buyya, Jinshu Su
MICRO
1990
IEEE
147views Hardware» more  MICRO 1990»
15 years 3 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
IPPS
1998
IEEE
15 years 4 months ago
A Parallel Evolutionary Algorithm for the Vehicle Routing Problem with Heterogeneous Fleet
Abstract. Nowadays genetic algorithms stand as a trend to solve NPcomplete and NP-hard problems. In this paper, we present a new hybrid metaheuristic which uses Parallel Genetic Al...
Luiz Satoru Ochi, Dalessandro Soares Vianna, L&uac...