An efficient procedure for finding best compromise solutions to the multi-objective assignment problem.
Lyes BelhoulLucie GalandDaniel VanderpootenPublished in: Comput. Oper. Res. (2014)
Keyphrases
- multi objective
- set of pareto optimal solutions
- conflicting objectives
- multi objective optimization problems
- multiple objectives
- pareto optimal
- multi objective optimization
- optimization algorithm
- multi objective evolutionary algorithms
- evolutionary algorithm
- pareto optimal solutions
- trade off
- engineering design problems
- particle swarm optimization
- bi objective
- objective function
- multiobjective genetic algorithm
- genetic algorithm
- multiobjective optimization
- multi objective problems
- np hard
- pareto optimal set
- pareto frontier
- evolutionary optimization
- efficient solutions
- nsga ii
- solution quality
- simulated annealing and tabu search
- databases
- multiagent evolutionary algorithm
- single objective optimization
- multiobjective evolutionary algorithm
- estimation of distribution algorithms
- website
- data mining
- neural network