Convergence Behaviour of Population Size and Mutation Rate for NSGA-II in the Context of the Traveling Thief Problem.
Julia GarbarukDoina LogofatuPublished in: ICCCI (2020)
Keyphrases
- mutation rate
- population size
- evolutionary algorithm
- nsga ii
- genetic algorithm
- evolutionary multiobjective
- multi objective
- fitness function
- multi objective evolutionary algorithms
- multi objective optimization
- optimization problems
- evolutionary computation
- markov chain
- parameter settings
- genetic programming
- differential evolution
- test problems
- fitness landscape
- population dynamics
- crossover operator
- optimization algorithm
- initial population
- mutation operator
- neural network
- convergence speed
- dynamic programming
- simulated annealing
- differential evolution algorithm
- knapsack problem
- artificial neural networks
- evolutionary computing
- computational efficiency
- fuzzy sets
- optimal solution