Evolution Under Strong Noise: A Self-Adaptive Evolution Strategy Can Reach the Lower Performance Bound - The pcCMSA-ES.
Michael HellwigHans-Georg BeyerPublished in: PPSN (2016)
Keyphrases
- evolution strategy
- evolutionary algorithm
- differential evolution
- lower bound
- cma es
- evolutionary programming
- upper bound
- evolution process
- optimization methods
- genetic algorithm
- particle swarm optimization algorithm
- worst case
- real time
- genetic operators
- global search
- evolutionary process
- linear programming
- multi agent systems
- significantly lower
- candidate solutions
- data structure
- data mining