444 search results - page 51 / 89 » Solving Mastermind Using Genetic Algorithms |
124
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CORR
2010
Springer
15 years 19 days ago
2010
Springer
Multiprocessor task scheduling is an important and computationally difficult problem. This paper proposes a comparison study of genetic algorithm and list scheduling algorithm. Bo...
116
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GECCO
2007
Springer
15 years 4 months ago
2007
Springer
The Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP) algorithm that cooperatively coevolves a population of adaptive mappings and associated genotypes is...
124
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ECML
2003
Springer
15 years 5 months ago
2003
Springer
Comparative machine learning experiments have become an important methodology in empirical approaches to natural language processing (i) to investigate which machine learning algor...
112
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GECCO
2009
Springer
15 years 5 months ago
2009
Springer
In this paper we describe a multi-objective problem solving approach, simultaneously minimizing average surface roughness Ra and build Time T, for object manufacturing by Rapid Pr...
92
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GECCO
2005
Springer
15 years 6 months ago
2005
Springer
We introduce a clustering-based method of subpopulation management in genetic programming (GP) called Evolutionary Tree Genetic Programming (ETGP). The biological motivation behin...