Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  test the performance of an LSHADE Cooperative Co-evolutionary (CC) algorithm using the CEC15 benchmarks. First,  apply the recently proposed Global Differential Grouping (GDG) to learn the underlying interdependencies of the problem variables. GDG divides both separable and non-separable variables among multiple sets. Second, the method adopts the LSHADE algorithm within the CC framework to simultaneously optimize the identified groups. Results are reported for all required problem sizes.
['Mohammed El-Abd']
I am writing a research paper on a idea Cooperative co-evolution using LSHADE with restarts for the CEC15 benchmarks
[{"from": "human", "value": "I am writing a research paper on a idea Cooperative co-evolution using LSHADE with restarts for the CEC15 benchmarks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  test the performance of an LSHADE Cooperative Co-evolutionary (CC) algorithm using the CEC15 benchmarks. First,  apply the recently proposed Global Differential Grouping (GDG) to learn the underlying interdependencies of the problem variables. GDG divides both separable and non-separable variables among multiple sets. Second, the method adopts the LSHADE algorithm within the CC framework to simultaneously optimize the identified groups. Results are reported for all required problem sizes."}]