3038 search results - page 256 / 608 » Industrial evolutionary computing |
142
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GECCO
2007
Springer
15 years 11 months ago
2007
Springer
There exist a number of high-performance Multi-Objective Evolutionary Algorithms (MOEAs) for solving MultiObjective Optimization (MOO) problems; two of the best are NSGA-II and -M...
127
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CIBCB
2005
IEEE
15 years 10 months ago
2005
IEEE
Efficient and reliable methods that can find a small sample of informative genes amongst thousands are of great importance. In this area, much research is investigating the combina...
130
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ICPADS
2005
IEEE
15 years 10 months ago
2005
IEEE
: Accurate reconstruction of phylogenetic trees very often involves solving hard optimization problems, particularly the maximum parsimony (MP) and maximum likelihood (ML) problems...
131
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GECCO
2005
Springer
15 years 10 months ago
2005
Springer
Typical applications of evolutionary optimization in static environments involve the approximation of the extrema of functions. For dynamic environments, the interest is not to lo...
168
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GECCO
2005
Springer
15 years 10 months ago
2005
Springer
In recent years there has been a growing interest in studying evolutionary algorithms for dynamic optimization problems due to its importance in real world applications. Several a...