A new analysis method for evolutionary optimization of dynamic and noisy objective functions
Author:
Affiliation:
1. École Polytechnique, Palaiseau, France
2. École Polytechnique Laboratoire d'Informatique (LIX), Palaiseau, France
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3205455.3205563
Reference17 articles.
1. A survey on metaheuristics for stochastic combinatorial optimization
2. Populations Can Be Essential in Tracking Dynamic Optima
3. Efficient Optimisation of Noisy Fitness Functions with Population-based Evolutionary Algorithms
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