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GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
15 years 7 months ago
Towards estimating nadir objective vector using evolutionary approaches
Nadir point plays an important role in multi-objective optimization because of its importance in estimating the range of objective values corresponding to desired Pareto-optimal s...
Kalyanmoy Deb, Shamik Chaudhuri, Kaisa Miettinen
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 7 months ago
Memory analysis and significance test for agent behaviours
Many agent problems in a grid world have a restricted sensory information and motor actions. The environmental conditions need dynamic processing of internal memory. In this paper...
DaeEun Kim
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 7 months ago
Local search for multiobjective function optimization: pareto descent method
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi
CCGRID
2001
IEEE
15 years 7 months ago
XtremWeb: A Generic Global Computing System
Global Computing achieves high throughput computing by harvesting a very large number of unused computing resources connected to the Internet. This parallel computing model target...
Gilles Fedak, Cécile Germain, Vincent N&eac...
HPDC
2000
IEEE
15 years 7 months ago
Automatic Configuration and Run-time Adaptation of Distributed Applications
Increased platform heterogeneity and varying resource availability in distributed systems motivates the design of resource-aware applications, which ensure a desired performance l...
Fangzhe Chang, Vijay Karamcheti
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