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Article

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

Faculty of Informatics, Institute of Computer Engineering, Technische Universität Wien, 1040 Vienna, Austria
Academic Editor: Petr Stodola
Mathematics 2021, 9(23), 3011; https://doi.org/10.3390/math9233011
Received: 9 November 2021 / Revised: 22 November 2021 / Accepted: 22 November 2021 / Published: 24 November 2021
(This article belongs to the Special Issue Metaheuristic Algorithms)
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 the human body. The underlying concepts and ideas behind the proposed algorithm are the cooperative behavior of thrombocytes and their intelligent strategy of clot formation. These behaviors are modeled and utilized to underscore intensification and diversification in a given search space. A comparison with various state-of-the-art meta-heuristic algorithms over a test suite of 23 renowned benchmark functions reflects the efficiency of BCA. An extensive investigation is conducted to analyze the performance, convergence behavior and computational complexity of BCA. The comparative study and statistical test analysis demonstrate that BCA offers very competitive and statistically significant results compared to other eminent meta-heuristic algorithms. Experimental results also show the consistent performance of BCA in high dimensional search spaces. Furthermore, we demonstrate the applicability of BCA on real-world applications by solving several real-life engineering problems. View Full-Text
Keywords: nature-inspired meta-heuristics; bio-inspired algorithms; Blood Coagulation Algorithm; swarm intelligence; optimization; meta-heuristics nature-inspired meta-heuristics; bio-inspired algorithms; Blood Coagulation Algorithm; swarm intelligence; optimization; meta-heuristics
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MDPI and ACS Style

Yadav, D. Blood Coagulation Algorithm: A Novel Bio-Inspired Meta-Heuristic Algorithm for Global Optimization. Mathematics 2021, 9, 3011. https://doi.org/10.3390/math9233011

AMA Style

Yadav D. Blood Coagulation Algorithm: A Novel Bio-Inspired Meta-Heuristic Algorithm for Global Optimization. Mathematics. 2021; 9(23):3011. https://doi.org/10.3390/math9233011

Chicago/Turabian Style

Yadav, Drishti. 2021. "Blood Coagulation Algorithm: A Novel Bio-Inspired Meta-Heuristic Algorithm for Global Optimization" Mathematics 9, no. 23: 3011. https://doi.org/10.3390/math9233011

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