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98
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CEC
2007
IEEE
15 years 7 months ago
SAT-decoding in evolutionary algorithms for discrete constrained optimization problems
— For complex optimization problems, several population-based heuristics like Multi-Objective Evolutionary Algorithms have been developed. These algorithms are aiming to deliver ...
Martin Lukasiewycz, Michael Glaß, Christian ...
121
Voted
IPL
2002
65views more  IPL 2002»
15 years 15 days ago
Parallel evolutionary algorithms can achieve super-linear performance
One of the main reasons for using parallel evolutionary algorithms (PEAs) is to obtain efficient algorithms with an execution time much lower than that of their sequential counter...
Enrique Alba
111
Voted
EVOW
2009
Springer
15 years 7 months ago
Diversity Control and Multi-Parent Recombination for Evolutionary Graph Coloring Algorithms
We present a hybrid evolutionary algorithm for the graph coloring problem (Evocol). Evocol is based on two simple-but-effective ideas. First, we use an enhanced crossover that col...
Daniel Cosmin Porumbel, Jin-Kao Hao, Pascale Kuntz
96
Voted
EPIA
2007
Springer
15 years 7 months ago
Improving Evolutionary Algorithms with Scouting
The goal of an Evolutionary Algorithm(EA) is to find the optimal solution to a given problem by evolving a set of initial potential solutions. When the problem is multi-modal, an ...
Konstantinos Bousmalis, Gillian M. Hayes, Jeffrey ...
80
Voted
GECCO
2005
Springer
15 years 6 months ago
Using an interactive evolutionary algorithm to help fitting a cochlear implant
Cochlear implants are electronic devices that stimulate directly the auditory nerve to allow totally deaf patients to hear again. This paper presents an interactive evolutionary a...
Claire Bourgeois-République, Bruno Frachet,...