19 search results - page 1 / 4 » Scaling Populations of a Genetic Algorithm for Job Shop Sche... |
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...
EPS
1997
Springer
13 years 8 months ago
1997
Springer
This paper describes a GA for job shop scheduling problems. Using the Giffler and Thompson algorithm, we created two new operators, THX crossover and mutation, which better trans...
GECCO
1999
Springer
13 years 8 months ago
1999
Springer
This paper deals with the study of population diversity in Genetic Algorithms for Job Shop Scheduling Problems. A definition of population diversity at the phenotype level and a ...
IJIIP
2010
13 years 1 months ago
2010
GECCO
2000
Springer
13 years 8 months ago
2000
Springer
The majority of the research using evolutionary algorithms for the Job Shop Scheduling Problem (JSSP) has studied only the static JSSP. Few evolutionary algorithms have been appli...