Solving the Processor Configuration Problems with a Mutation-Based Genetic Algorithm.
T. L. LauEdward P. K. TsangPublished in: Int. J. Artif. Intell. Tools (1997)
Keyphrases
- genetic algorithm
- configuration problems
- fitness function
- difficult problems
- evolutionary algorithm
- population size
- constraint satisfaction problems
- genetic algorithm ga
- genetic operators
- constraint satisfaction
- mutation operator
- differential evolution
- crossover and mutation
- product configuration
- simulated annealing
- crossover operator
- particle swarm optimization
- evolutionary process
- multi objective
- combinatorial optimization
- natural language
- database systems