A multi-objective dynamic programming-based metaheuristic to solve a bi-objective unit commitment problem using a multi-objective decoder.
Sophie JacquinLaetitia JourdanEl-Ghazali TalbiPublished in: Int. J. Metaheuristics (2016)
Keyphrases
- multi objective
- bi objective
- metaheuristic
- particle swarm optimization
- genetic algorithm
- evolutionary algorithm
- multi objective optimization
- ant colony optimization
- dynamic programming
- optimization problems
- unit commitment
- simulated annealing
- optimization algorithm
- ant colony optimization metaheuristic
- multiple objectives
- multiobjective optimization
- objective function
- nsga ii
- hybrid algorithms
- tabu search
- search space
- combinatorial optimization
- optimal solution
- combinatorial optimization problems
- multi objective evolutionary algorithms
- neural network
- differential evolution
- greedy algorithm
- reinforcement learning
- test problems
- special case
- heuristic methods
- efficient solutions
- search algorithm
- path relinking
- variable neighborhood search