Non-elitist evolutionary algorithms excel in fitness landscapes with sparse deceptive regions and dense valleys.
Duc-Cuong DangAnton V. EremeevPer Kristian LehrePublished in: GECCO (2021)
Keyphrases
- evolutionary algorithm
- fitness landscape
- evolutionary computation
- fitness function
- multi objective
- arbitrary shape
- optimization problems
- differential evolution
- genetic algorithm
- genetic programming
- multi objective optimization
- simulated annealing
- evolution strategy
- dense stereo
- population diversity
- evolutionary process
- dense regions
- high dimensional
- crossover operator
- differential evolution algorithm
- dense optical flow
- motion field estimation
- evolution process
- image regions
- genetic operators
- microsoft excel
- sparse representation
- evolutionary search
- dense disparity map
- evolutionary strategy
- particle swarm
- deception detection
- image features
- evolutionary artificial neural networks