Emergent nature inspired algorithms for multi-objective optimization.
José Rui FigueiraEl-Ghazali TalbiPublished in: Comput. Oper. Res. (2013)
Keyphrases
- multi objective optimization
- nature inspired algorithms
- evolutionary computation
- evolutionary algorithm
- biogeography based optimization
- multi objective
- differential evolution
- ant colony optimization
- computational intelligence
- genetic algorithm
- metaheuristic
- optimization problems
- multi objective optimization problems
- simulated annealing
- nsga ii
- multi objective genetic algorithm
- swarm intelligence
- pareto optimal
- particle swarm optimization
- genetic programming
- constrained optimization problems
- evolutionary strategy
- bi objective
- optimization method
- pareto optimal set
- optimisation problems
- ant based clustering
- multiple objectives
- convergence speed
- optimization algorithm
- evolution strategy
- machine learning
- fitness function
- complex optimization problems
- shortest path
- neural network
- artificial intelligence
- search algorithm
- ant colony optimisation
- search space
- fuzzy logic
- tabu search
- multiobjective optimization
- particle swarm
- mutation operator