New Designs of k-means Clustering and Crossover Operator for Solving Traveling Salesman Problems using Evolutionary Algorithms.
Ismail M. AliDaryl EssamKathryn KasmarikPublished in: IJCCI (2019)
Keyphrases
- crossover operator
- traveling salesman problem
- evolutionary algorithm
- combinatorial optimization
- optimization problems
- mutation operator
- discrete optimization problems
- population diversity
- constrained multi objective optimization problems
- simulated annealing
- memetic algorithm
- combinatorial problems
- genetic operators
- combinatorial optimization problems
- constrained optimization problems
- fitness function
- metaheuristic
- differential evolution algorithm
- vehicle routing problem
- function optimization
- evolutionary computation
- multi objective
- real coded genetic algorithms
- hamiltonian cycle
- differential evolution
- genetic programming
- explore the search space
- ant colony optimization
- multi objective optimization
- genetic algorithm
- timetabling problem
- graph coloring
- distribution network
- benchmark problems
- branch and bound
- neural network
- evolution strategy
- test problems
- search space