A self-adaptive Multimeme Memetic Algorithm co-evolving utility scores to control genetic operators and their parameter settings.
Ender ÖzcanJohn H. DrakeCevriye AltintasShahriar AstaPublished in: Appl. Soft Comput. (2016)
Keyphrases
- parameter settings
- memetic algorithm
- genetic operators
- crossover operator
- genetic algorithm ga
- genetic algorithm
- job shop scheduling problem
- fitness function
- evolutionary algorithm
- mutation operator
- tabu search
- evolutionary computation
- simulated annealing
- parameter values
- genetic programming
- control system
- initial population
- control strategy
- artificial intelligence
- traveling salesman problem
- control parameters
- differential evolution
- artificial neural networks
- combinatorial optimization
- metaheuristic
- test problems
- reinforcement learning
- neural network