Blood Coagulation Algorithm: A Novel Bio-Inspired Meta-Heuristic Algorithm for Global Optimization

This paper introduces a novel population-based bio-inspired meta-heuristic optimization algorithm, called Blood Coagulation Algorithm (BCA). BCA derives inspiration from the process of blood coagulation in human body. The underlying concepts and ideas behind proposed algorithm are cooperative behavior thrombocytes their intelligent strategy clot formation. These behaviors modeled utilized to underscore intensification diversification given search space. A comparison with various state-of-the-art algorithms over test suite 23 renowned benchmark functions reflects efficiency BCA. An extensive investigation is conducted analyze performance, convergence computational complexity comparative study statistical analysis demonstrate that offers very competitive statistically significant results compared other eminent algorithms. Experimental also show consistent performance high dimensional spaces. Furthermore, we applicability on real-world applications by solving several real-life engineering problems.