AN EXPERIMENTAL COMPARISON OF BIASED AND UNBIASED RANDOM-KEY GENETIC ALGORITHMS

AN EXPERIMENTAL COMPARISON OF BIASED AND UNBIASED RANDOM-KEY GENETIC ALGORITHMS

Random key genetic algorithms are heuristic methods for solving combinatorial optimization problems. They represent solutions as vectors of randomly generated real numbers, the so-called random keys. A deterministic algorithm, called a decoder, takes as input a vector of random keys and associates w...

Full description

Bibliographic Details
Main Authors: José Fernando Gonçalves, Mauricio G.C. Resende, Rodrigo F. Toso
Format: Article
Language:English
Published: Sociedade Brasileira de Pesquisa Operacional 2014-05-01
Series:Pesquisa Operacional
Subjects:
genetic algorithm
biased random-key genetic algorithm
random keys
combinatorial optimization
heuristics
metaheuristics
experimental algorithms
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382014000200143&lng=en&tlng=en

Internet

http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382014000200143&lng=en&tlng=en

Similar Items