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» Mutation Rates in the Context of Hybrid Genetic Algorithms
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AI
1998
Springer
14 years 38 min ago
A Hybrid Genetic Algorithm for the Vehicle Routing Problem with Time Windows
A variety of hybrid genetic algorithms has been recently proposed to address the vehicle routing problem with time windows (VRPTW), a problem known to be NP-hard. However, very few...
Jean Berger, Martin Salois, Regent Begin
RECOMB
2010
Springer
13 years 9 months ago
Algorithms for Detecting Significantly Mutated Pathways in Cancer
Abstract. Recent genome sequencing studies have shown that the somatic mutations that drive cancer development are distributed across a large number of genes. This mutational heter...
Fabio Vandin, Eli Upfal, Benjamin J. Raphael
GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
14 years 1 months ago
Combining competent crossover and mutation operators: a probabilistic model building approach
This paper presents an approach to combine competent crossover and mutation operators via probabilistic model building. Both operators are based on the probabilistic model buildin...
Cláudio F. Lima, Kumara Sastry, David E. Go...
ISDA
2005
IEEE
14 years 1 months ago
Hybrid Fuzzy-Genetic Algorithm Approach for Crew Grouping
Crew grouping is an important problem and formulating a good solution always involves many challenges. For example, grouping soldiers intelligently to tank combat units, we should...
Hongbo Liu, Zhanguo Xu, Ajith Abraham
PATAT
2004
Springer
141views Education» more  PATAT 2004»
14 years 1 months ago
A Hybrid Multi-objective Evolutionary Algorithm for the Uncapacitated Exam Proximity Problem
A hybrid Multi-Objective Evolutionary Algorithm is used to tackle the uncapacitated exam proximity problem. In this hybridization, local search operators are used instead of the tr...
Pascal Côté, Tony Wong, Robert Sabour...