A Genetic Algorithm with Grouping Selection and Searching Operators for the Orienteering Problem.
Pawel ZabielskiJoanna Karbowska-ChilinskaJolanta KoszelewKrzysztof OstrowskiPublished in: ACIIDS (2) (2015)
Keyphrases
- genetic algorithm
- selection operator
- selection strategy
- crossover and mutation
- simulated annealing
- multi objective
- selection algorithm
- fitness function
- crossover and mutation operators
- mutation operator
- crossover operator
- evolutionary algorithm
- tabu search
- evolutionary computation
- learning classifier systems
- job shop scheduling problem
- building blocks
- database
- genetic programming
- multi objective optimization
- fuzzy logic
- artificial neural networks
- genetic operators
- search capabilities
- decision trees
- artificial intelligence
- databases