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CISIM
2008
IEEE
15 years 4 months ago
Tuning Struggle Strategy in Genetic Algorithms for Scheduling in Computational Grids
Job Scheduling on Computational Grids is gaining importance due to the need for efficient large-scale Grid-enabled applications. Among different optimization techniques addressed ...
Fatos Xhafa, Bernat Duran, Ajith Abraham, Keshav P...
ASPDAC
2000
ACM
92views Hardware» more  ASPDAC 2000»
15 years 1 months ago
Genetic algorithm accelerator GAA-II
We have developed a new GA hardware called GAA-I (Genetic Algorithm Accelerator-I), in which the crossover operator to be applied to each individual was dynamically selected during...
Shin'ichi Wakabayashi, Tetsushi Koide, Nayoshi Tos...
GECCO
2004
Springer
132views Optimization» more  GECCO 2004»
15 years 3 months ago
Robust and Efficient Genetic Algorithms with Hierarchical Niching and a Sustainable Evolutionary Computation Model
This paper proposes a new niching method named hierarchical niching, which combines spatial niching in search space and a continuous temporal niching concept. The method is natural...
Jianjun Hu, Erik D. Goodman
CEC
2003
IEEE
15 years 3 months ago
Adaptive temperature schedule determined by genetic algorithm for parallel simulated annealing
Abstract- Simulated annealing (SA) is an effective general heuristic method for solving many combinatorial optimization problems. This paper deals with two problems in SA. One is ...
Mitsunori Miki, Tomoyuki Hiroyasu, Jun'ya Wako, Ta...
ICES
2010
Springer
106views Hardware» more  ICES 2010»
14 years 8 months ago
The Use of Genetic Algorithm to Reduce Power Consumption during Test Application
Abstract. In this paper it is demonstrated how two issues from the area of testing electronic components can be merged and solved by means of a genetic algorithm. The two issues ar...
Jaroslav Skarvada, Zdenek Kotásek, Josef St...