A Proof That Using Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation.
Duc-Cuong DangAndre OprisBahare SalehiDirk SudholtPublished in: AAAI (2023)
Keyphrases
- multi objective optimisation
- multi objective
- genetic algorithm
- evolutionary algorithm
- nsga ii
- evolutionary optimization
- evolutionary computation
- multi objective optimization
- evolutionary process
- mutation rate
- evolutionary methods
- crossover operator
- optimization algorithm
- multiobjective optimization
- genetic programming
- differential evolution
- multiple objectives
- evolution process
- theorem prover
- fitness function
- optimization problems
- mutation operator
- evolutionary search
- theorem proving
- search algorithm
- metaheuristic
- pareto optimal
- crossover and mutation
- artificial immune system
- genetic algorithm ga
- genetic operators
- selection strategy
- artificial neural networks
- test problems