MOEA/DEP: An Algebraic Decomposition-Based Evolutionary Algorithm for the Multiobjective Permutation Flowshop Scheduling Problem.
Marco BaiolettiAlfredo MilaniValentino SantucciPublished in: EvoCOP (2018)
Keyphrases
- evolutionary algorithm
- multi objective
- multi objective optimization
- nsga ii
- multi objective optimization problems
- evolutionary computation
- multi objective evolutionary algorithms
- multiobjective optimization
- optimization algorithm
- differential evolution
- pareto optimal set
- optimization problems
- multiobjective evolutionary algorithm
- simulated annealing
- multi criteria
- multi objective problems
- genetic algorithm
- pareto optimal
- particle swarm optimization
- fitness function
- solving multi objective optimization problems
- multi objective evolutionary
- genetic operators
- evolution strategy
- pareto set
- bi objective
- genetic programming
- multiple objectives
- multiobjective evolutionary algorithms
- conflicting objectives
- evolutionary search
- mutation operator
- evolutionary process
- crossover operator
- multiobjective genetic algorithm
- decomposition method
- single objective optimization
- uniform design
- lower bound
- tabu search
- optimization method
- combinatorial optimization
- particle swarm optimization pso
- artificial bee colony
- evolutionary strategy