Fitness switching genetic algorithm for solving combinatorial optimization problems with rare feasible solutions.
Jun Woo KimSoo Kyun KimPublished in: J. Supercomput. (2016)
Keyphrases
- feasible solution
- genetic algorithm
- tabu search
- metaheuristic
- fitness function
- simulated annealing
- linear programming
- combinatorial optimization problems
- optimal solution
- infeasible solutions
- evolutionary algorithm
- solution quality
- ant colony optimization
- genetic programming
- crossover and mutation
- population size
- mixed integer program
- convex hull
- solution space
- mixed integer
- test problems
- lagrangian relaxation
- neural network
- objective function
- genetic algorithm ga
- mathematical model
- multi objective optimization
- multidimensional knapsack problem
- differential evolution
- evolutionary computation
- training data
- multi objective
- particle swarm optimization
- np hard
- global search
- mutation operator
- high dimensional