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» Solving Mastermind Using Genetic Algorithms
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CEC
2010
IEEE
12 years 11 months ago
A hybrid genetic algorithm for rescue path planning in uncertain adversarial environment
— Efficient vehicle path planning in hostile environment to carry out rescue or tactical logistic missions remains very challenging. Most approaches reported so far relies on key...
Jean Berger, Khaled Jabeur, Abdeslem Boukhtouta, A...
SMC
2010
IEEE
158views Control Systems» more  SMC 2010»
13 years 5 months ago
A study of genetic algorithms for approximating the longest path in generic graphs
Abstract--Finding the longest simple path in a generic undirected graph is a challenging issue that belongs to the NPComplete class of problems. Four approaches based on genetic al...
David Portugal, Carlos Henggeler Antunes, Rui Roch...
IPPS
2009
IEEE
14 years 2 months ago
A parallel hybrid genetic algorithm-simulated annealing for solving Q3AP on computational grid
In this paper we propose a parallel hybrid genetic method for solving Quadratic 3-dimensional Assignment Problem (Q3AP). This problem is proved to be computationally NP-hard. The ...
Lakhdar Loukil, Malika Mehdi, Nouredine Melab, El-...
GECCO
2008
Springer
157views Optimization» more  GECCO 2008»
13 years 8 months ago
Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automata
Self-adaptation is used a lot in Evolutionary Strategies and with great success, yet for some reason it is not the mutation adaptation of choice for Genetic Algorithms. This poste...
Ron Breukelaar, Thomas Bäck
SAC
1996
ACM
13 years 11 months ago
Automatic aircraft conflict resolution using genetic algorithms
In this paper, we show how genetic algorithms can be used to solve en-route aircraft conflict automatically to increase Air Traffic Control capacity in high density areas. The ATC
Nicolas Durand, Jean-Marc Alliot, Joseph Noailles