2266 search results - page 275 / 454 » Evolutionary Algorithms for the Satisfiability Problem |
133
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GECCO
2004
Springer
15 years 8 months ago
2004
Springer
As the Flexible Job Shop Scheduling Problem (or FJSP) is strongly NP-hard, using an evolutionary approach to find near-optimal solutions requires effective chromosome representatio...
124
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EH
2002
IEEE
15 years 8 months ago
2002
IEEE
Evolutionary algorithms (EAs) are regularly used both for the solution of scheduling problems, and for the creation of digital circuit designs. This paper describes a unified app...
134
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GECCO
2007
Springer
15 years 7 months ago
2007
Springer
Network topology design problems find application in several real life scenarios. However, most designs in the past either optimize for a single criterion like delay or assume sim...
126
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GECCO
2006
Springer
15 years 7 months ago
2006
Springer
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
149
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GECCO
2006
Springer
15 years 7 months ago
2006
Springer
Cooperative coevolution is often used to solve difficult optimization problems by means of problem decomposition. Its performance on this task is influenced by many design decisio...