Quantitative evaluation of iterative extended changing crossover operators to solve the traveling salesman problem: Diversity measurement and its application to selection strategies in genetic algorithms.
Ryouei TakahashiPublished in: ICNC (2014)
Keyphrases
- traveling salesman problem
- crossover operator
- quantitative evaluation
- selection strategies
- discrete optimization problems
- population diversity
- mutation operator
- genetic algorithm
- selection strategy
- memetic algorithm
- combinatorial optimization
- ground truth
- premature convergence
- genetic operators
- ant colony optimization
- evolutionary algorithm
- fitness function
- explore the search space
- qualitative evaluation
- genetic algorithm ga
- hamiltonian cycle
- optimization problems
- vehicle routing problem
- differential evolution
- simulated annealing
- traveling salesman
- quality assessment
- search strategies
- neural network
- genetic programming
- mutation probability