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177
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PPL
2007
15 years 6 months ago
2007
Graph algorithms are becoming increasingly important for solving many problems in scientific computing, data mining and other domains. As these problems grow in scale, parallel c...
170
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EOR
2006
15 years 6 months ago
2006
Scatter search is an evolutionary method that has been successfully applied to hard optimization problems. The fundamental concepts and principles of the method were first propose...
153
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EVOW
2006
Springer
15 years 10 months ago
2006
Springer
The k-cut problem is an NP-complete problem which consists of finding a partition of a graph into k balanced parts such that the number of cut edges is minimized. Different algori...
180
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CP
2005
Springer
15 years 8 months ago
2005
Springer
In this paper we present and evaluate an evolutionary approach for learning new constraint satisfaction algorithms, specifically for MAX-SAT optimisation problems. Our approach of...
167
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GECCO
2007
Springer
16 years 24 days 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...