798 search results - page 1 / 160 » Using Genetic Algorithms for Solving Hard Problems in GIS |
GEOINFORMATICA
2002
13 years 4 months ago
2002
Genetic algorithms (GAs) are powerful combinatorial optimizers that are able to
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
We present a Kernighan-Lin style local improvement heuristic for genetic algorithms. We analyze the run-time cost of the heuristic. We demonstrate through experiments that the heur...
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
CLOUDCOM
2010
Springer
13 years 2 months ago
2010
Springer
Inspired by Darwinian evolution, a genetic algorithm (GA) approach is one of the popular heuristic methods for solving hard problems, such as the Job Shop Scheduling Problem (JSSP...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
Classical Evolutionary Programming (CEP) and Fast Evolutionary Programming (FEP) have been applied to realvalued function optimisation. Both of these techniques directly evolve th...