3142 search results - page 233 / 629 » Solving Hierarchical Optimization Problems Using MOEAs |
109
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GECCO
2005
Springer
15 years 9 months ago
2005
Springer
Real-world multi-objective engineering design optimization problems often have parameters with uncontrollable variations. The aim of solving such problems is to obtain solutions t...
148
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GECCO
2008
Springer
15 years 4 months ago
2008
Springer
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
142
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EOR
2008
15 years 3 months ago
2008
This paper is a study of the car sequencing problem, when feature spacing constraints are soft and colors of vehicles are taken into account. Both pseudo-polynomial algorithms and ...
113
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AEI
2005
15 years 3 months ago
2005
Evolutionary algorithms (EAs) are stochastic search methods that mimic the natural biological evolution and/or the social behavior of species. Such algorithms have been developed ...
DATE
2006
IEEE
15 years 9 months ago
2006
IEEE
In this paper, we present a technique that exploits the statistical behavior of data values transmitted on global signal buses to determine an energy-efficient ordering of bits t...