μMOSM: A hybrid multi-objective micro evolutionary algorithm.
Yousef AbdiMohammad AsadpourYousef SeyfariPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- evolutionary algorithm
- multi objective
- multi objective optimization
- evolutionary computation
- optimization algorithm
- optimization problems
- multiobjective optimization
- differential evolution
- simulated annealing
- genetic programming
- genetic algorithm
- fitness function
- multiple objectives
- multi objective optimization problems
- evolutionary optimization
- nsga ii
- particle swarm optimization
- mutation operator
- genetic operators
- particle swarm
- simulated annealing and tabu search
- conflicting objectives
- function optimization
- pareto optimal
- optimization method
- computer aided
- evolutionary strategy
- benchmark problems
- multi objective genetic algorithms
- multi objective particle swarm optimization
- pareto optimal set
- multi objective evolutionary
- parallel genetic algorithm
- hybrid evolutionary algorithm
- electro mechanical systems
- crossover operator
- multi objective evolutionary algorithms
- bi objective
- hybrid learning
- multi criteria
- solution quality
- branch and bound algorithm
- tabu search
- decision making