Memory-based adaptive partitioning (MAP) of search space for the enhancement of convergence in Pareto-based multi-objective evolutionary algorithms.
Aras AhmadiPublished in: Appl. Soft Comput. (2016)
Keyphrases
- multi objective evolutionary algorithms
- multi objective
- multi objective optimization
- search space
- multiobjective optimization
- fitness function
- nsga ii
- pareto optimal solutions
- evolutionary algorithm
- multi objective optimization problems
- differential evolution
- test problems
- optimization algorithm
- pareto optimal
- genetic algorithm
- multiple objectives
- pareto optimal set
- search algorithm
- grammar guided genetic programming
- multi objective problems
- min max
- evolutionary computation
- objective function
- multi criteria
- particle swarm optimization
- metaheuristic
- genetic programming
- strength pareto evolutionary algorithm
- multi dimensional
- cost function
- optimization problems
- expert systems
- artificial immune system
- swarm intelligence
- bi objective
- optimal solution
- branch and bound
- decision making
- neural network