Enhancing Exploration and Exploitation of NSGA-II with GP and PDL.
Peter David ShannonChrystopher L. NehanivSomnuk Phon-AmnuaisukPublished in: ICSI (1) (2017)
Keyphrases
- nsga ii
- genetic programming
- fitness function
- multi objective
- evolutionary algorithm
- multi objective optimization
- pareto optimal
- test problems
- multiobjective evolutionary algorithm
- multiobjective optimization
- evolutionary multiobjective
- optimization problems
- multi objective differential evolution
- test functions
- optimal solution
- genetic algorithm
- evolutionary multiobjective optimization
- multi objective optimisation
- multi objective evolutionary algorithms
- optimization algorithm
- constrained multi objective optimization problems
- mutation operator
- evolutionary computation
- uniform design
- genetic algorithm ga
- search capabilities
- differential evolution
- crossover operator
- knapsack problem
- pareto optimal solutions
- multi objective optimization problems
- bi objective
- multiple objectives
- objective function
- strength pareto evolutionary algorithm
- solution quality
- pareto dominance
- swarm intelligence
- branch and bound algorithm
- particle swarm optimization
- min max
- search space
- fuzzy logic
- special case