Artificial coronary circulation system: A new bio-inspired metaheuristic algorithm

A new swarm intelligence optimization technique, called Artificial Coronary Circulation System (ACCS), is proposed in this study. This optimization method simulates the growth of coronary arteries (veins) in the human heart. In this algorithm, each capillary is considered a candidate solution. This algorithm starts with a random initial population of candidate solutions and evaluates them by using Coronary Growth Factor (CGF). In each run, the best candidate solution is selected as the main coronary vessel (artery or vein), and the other capillaries are considered as searchers of the search space. Then, the heart decides whether other candidates move toward/away from the main coronary vessels and searches for the optimal solution by using heart memory. Finally, the application of the proposed algorithm is demonstrated with respect to some benchmark functions and some mechanical problems, conrmifing the potential and capability of the new algorithm.