Benchmarking CMA-EGS on the BBOB 2010 noisy function testbed

This paper describes the implementation and the results for CMA-EGS on the BBOB 2010 noisy testbed. The CMAEGS is a hybrid strategy which combines elements from gradient search and evolutionary algorithms. The paper describes the algorithm used and the experimental setup. The strategy is able to solve 17 of 30 functions in at least one dimensionality. Categories and Subject Descriptors

• Type: Conference
• Year: 2010
• Where: GECCO
• Authors: Steffen Finck, Hans-Georg Beyer
• Keywords: Evolutionary Algorithms, GECCO 2010, Gradient Search, Hybrid Strategy, Optimization