Scheduling Issues Figure 1 / Addison-Wesley Publishing Company Inc. / GA SA / Computer Integrated Manufacturing / Energy Bank / Artificial Neural Networks / Illinois Genetic Algorithms Laboratory / Domain Resource / Fast SA / Grid Resource Management / Very Fast SA / /
Country
Italy / Japan / United States / Australia / United Kingdom / / /
Facility
Information Technology Monash University / Caulfield Campus / Software Engineering Monash University / /
IndustryTerm
crossover operator / large-scale distributed systems / random search / search process / communication technology / Soft computing techniques / natural and social systems / potential solution / tabu algorithm / pure genetic algorithm / neural networks / good quality solutions / resource management / hybrid genetic-tabu search approach / minimum energy crystalline structure / threshold energy / energy difference / computational processing time requirements / mutation operators / energy / above algorithms / hybrid heuristic algorithms / problem solutions / simulated annealing algorithm / heuristic algorithm / genetic algorithm / optimization algorithms / user applications / bank / metal cools / heuristic algorithms / computational load among several processors / hybrid algorithm / tabu search / energy threshold / computing / distributed computing resources / resource broker / search space / search procedures / high-bandwidth communications / /
Organization
Grid Computing Information Centre / Monash University / Computational Grids Ajith Abraham / Rajkumar Buyya* and Baikunth Nath School of Computing / Computational Intelligence / School of Computer Science / /
Person
Charles Darwin / Morgan Kaufmann / Job Scheduling / Tabu / F.Maffioli / V / /