190 search results - page 8 / 38 » Combining Convergence and Diversity in Evolutionary Multiobj... |
144
Voted
EC
2002
15 years 1 months ago
2002
Previous work on multiobjective genetic algorithms has been focused on preventing genetic drift and the issue of convergence has been given little attention. In this paper, we pre...
123
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GECCO
2008
Springer
15 years 2 months ago
2008
Springer
We propose the use of rough sets theory to improve the first approximation provided by a multi-objective evolutionary algorithm and retain the nondominated solutions using a new ...
126
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GECCO
2007
Springer
15 years 7 months ago
2007
Springer
Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
114
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GECCO
2009
Springer
15 years 6 months ago
2009
Springer
The Vehicle Routing Problem’s main objective is to find the lowest-cost set of routes to deliver goods to customers, which have a service time window, using a fleet of identic...
110
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PPSN
2004
Springer
15 years 7 months ago
2004
Springer
Multi-objective optimization methods are essential to resolve real-world problems as most involve several types of objects. Several multi-objective genetic algorithms have been pro...