An improved quantum evolutionary algorithm based on regulation law of hormone in endocrine system

Section 1 of the full paper explains our improved algorithm mentioned in the title. Its core consists of: "The traditional quantum evolutionary algorithm is sometimes unstable and inaccurate when it is used in searching the best solution of a fitness function. To solve this problem more effectly, the endocrine hormone regulation law was introduced into the quantum evolutionary algorithm when quantum rotation angles were calculated. The quantum rotation angles were self-adaptable to match the number of the population evolutionary generations and those of fitness values of solutions." This algorithm was applied to the Schaffer function and 3D human brain image segmentation; the experimental results, presented in Tables 2 and 3, Figs. 3 and 4, and Figs. 7 through 9, and their analysis show preliminarily that the stability and the accuracy of the quantum evolutionary algorithm was indeed improved while the high-speed of convergence was maintained.