Hybridizing a multi-objective simulated annealing algorithm with a multi-objective evolutionary algorithm to solve a multi-objective project scheduling problem.
Virginia YannibelliAnalía AmandiPublished in: Expert Syst. Appl. (2013)
Keyphrases
- multi objective
- evolutionary algorithm
- multi objective optimization
- simulated annealing algorithm
- optimization algorithm
- particle swarm optimization
- genetic algorithm
- objective function
- multiple objectives
- multiobjective optimization
- nsga ii
- conflicting objectives
- bi objective
- multiobjective evolutionary algorithm
- multi objective optimization problems
- evolutionary optimization
- multi objective evolutionary
- pareto optimal
- mutation operator
- multi criteria
- multi objective problems
- lower bound
- neural network