610 search results - page 15 / 122 » Solving Geometrical Place Problems by using Evolutionary Alg... |
135
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ESWA
2007
15 years 3 months ago
2007
The goal of assembly planning consists in generating feasible sequences to assemble a product and selecting an efficient assembly sequence from which related constraint factors su...
131
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CEC
2007
IEEE
15 years 9 months ago
2007
IEEE
—Genetic Algorithms (GAs) have a good potential of solving the Gate Assignment Problem (GAP) at airport terminals, and the design of feasible and efficient evolutionary operators...
337
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EC
2012
13 years 11 months ago
2012
In a multimodal optimization task, the main purpose is to find multiple optimal solutions (global and local), so that the user can have a better knowledge about different optima...
116
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SEAL
2010
Springer
15 years 1 months ago
2010
Springer
During engineering design, it is often difficult to quantify product reliability because of insufficient data or information for modeling the uncertainties. In such cases, one need...
120
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ESA
2003
Springer
15 years 8 months ago
2003
Springer
In this paper we propose algorithms for solving a variety of geometric optimization problems on a stream of points in R2 or R3 . These problems include various extent measures (e.g...