Evolutionary Algorithm based on the Automata Theory for the Multi-objective Optimization of Combinatorial Problems.
Elias David Niño RuizPublished in: Int. J. Comput. Commun. Control (2012)
Keyphrases
- combinatorial problems
- multi objective optimization
- evolutionary algorithm
- automata theory
- optimization problems
- multi objective
- metaheuristic
- combinatorial optimization
- graph theory
- simulated annealing
- constraint programming
- learning theory
- traveling salesman problem
- constraint satisfaction problems
- evolutionary computation
- differential evolution
- constraint satisfaction
- hybrid evolutionary algorithm
- student learning
- genetic programming
- fitness function
- genetic algorithm
- phase transition
- multiple objectives
- branch and bound algorithm
- multi objective optimization problems
- nsga ii
- global constraints
- pareto optimal
- genetic operators
- mutation operator
- tabu search
- crossover operator
- multiobjective optimization
- particle swarm optimization
- computer science
- optimization algorithm
- college level
- branch and bound
- learning objectives