Host: The Japanese Society for Artificial Intelligence
Name : The 32nd Annual Conference of the Japanese Society for Artificial Intelligence, 2018
Number : 32
Location : [in Japanese]
Date : June 05, 2018 - June 08, 2018
This paper proposes benchmark functions for cooperative coevolution (CC), which dynamically divides a target problem into smaller subproblems and solves in parallel.The proposed benchmark functions allow adjusting dependency strength between variables by changing the number of linkages and linkage types.Experimental results showed the in uence of dynamic decomposition change frequency to CC's optimization performance.