Abstract
This paper reforms the Mutative Scale Chaos Optimization Algorithm (MSCOA). Numerical simulation demonstrates that the efficiency and performance of the algorithm are improved. An analysis of the Improved Mutative Scale Chaos Optimization Algorithm (IMSCOA) is also given. IMSCOA is applied to examples of economic load dispatch, considering both the valve point effect and transmission loss. The results are compared with those computed by other methods, including MSCOA and another effective chaos algorithm—CROA. It is shown that IMSCOA provides more optimal results than the other methods, whether or not the problem is large scale. This demonstrates the efficiency and practicability of IMSCOA in engineering practice.
Acknowledgements
The authors gratefully acknowledge the contributions of Shuangxin Wang for her work on the original version of this document and Wuchao Qi for his help and suggestions during the process of modification. The hard work of the reviewers is also greatly appreciated.