Hot of the Press: Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation.
Andre OprisDuc-Cuong DangDirk SudholtPublished in: GECCO Companion (2024)
Keyphrases
- multi objective optimisation
- multi objective
- genetic algorithm
- evolutionary algorithm
- nsga ii
- evolutionary computation
- multi objective optimization
- evolutionary optimization
- evolutionary process
- mutation rate
- crossover operator
- optimization algorithm
- genetic programming
- evolutionary methods
- mutation operator
- differential evolution
- fitness function
- multiobjective optimization
- multiple objectives
- evolution process
- evolutionary search
- particle swarm optimization
- optimization problems
- genetic search
- genetic algorithm ga
- linear complexity
- crossover and mutation
- simulated annealing
- computational intelligence
- neural network
- bacterial foraging optimization algorithm
- metaheuristic
- fuzzy logic
- dynamic programming
- pareto optimal
- knapsack problem
- swarm intelligence
- particle swarm optimization pso
- fitness landscape
- exponential size
- objective function