Solving the Problem of Pressure Vessel with Constraint Conditions through Marine Predators Algorithm
Journal: Modern Economics & Management Forum DOI: 10.32629/memf.v6i1.3568
Abstract
With the development of artificial intelligence technology, various intelligent algorithms are becoming more and more mature. Swarm intelligent algorithm performs well among many algorithms. Optimization problems have been permeating into all aspects of life, and solving the condition optimization problem with constraints is a very important aspect. This paper adopts the newly proposed Marine Predators Algorithm in recent years. The original algorithm is improved by adding constraints. Optimization of pressure vessel problem using Marine predator optimization algorithm. The four variables of shell thickness, head thickness, inner radius and cylindrical section length are optimized on the premise that the pressure vessel is qualified. The variables are iterated to find the optimal solution. In order to show the excellent performance of the Marine Predators Algorithm, compared with other excellent algorithms, it has excellent performance in both convergence speed and stability.
Keywords
Marine Predators Algorithm, Pressure vessel, Optimization problem
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[2]Faramarzi A, Heidarinejad M, Mirjalili S, et al.Marine Predators Algorithm: A nature-inspired metaheuristic; Expert systems with applications: 2020; pp. 113377.
[3]ABDEL-BASSET M, MOHAMED R, et alCrestedPorcupineOptimizer: A NewNatureInspired Metaheuristic. Knowledge-BasedSystems: 2024; pp.111257-1-111257-42.
[4]Dinh P H. A novel approach based on three-scale image decomposition and marine predators algorithm for multi-modal medical image fusion; Biomedical Signal Processing and Control: 2021; pp. 102536.
[5]Sobhy M A, Abdelaziz A Y, Hasanien H M, et al. Marine predators algorithm for load frequency control of modern interconnected power systems including renewable energy sources and energy storage units, 4th ed.;Ain Shams Engineering Journal: 2021; pp. 3843-3857.
[6]Abd Elaziz M, Mohammadi D, Oliva D, et al. Quantum marine predators algorithm for addressing multilevel image segmentation; Applied Soft Computing: 2021; pp. 107598.
[7]Ramezani M, Bahmanyar D, Razmjooy N. A new improved model of marine predators algorithm for optimization problems, 9th ed.; Arabian Journal for Science and Engineering: 2021; pp. 8803-8826.
[8]Zhong K, Zhou G, Deng W, et al. MOMPA: Multi-objective marine predators algorithm; Computer Methods in Applied Mechanics and Engineering: 2021; pp. 114029.
[9]Sowmya R, Sankaranarayanan V. Optimal vehicle-to-grid and grid-to-vehicle scheduling strategy with uncertainty management using improved marine predators algorithm; Computers and Electrical Engineering: 2022; pp. 107949.
[10]Houssein E H, Ibrahim I E, Kharrich M, et al. An improved marine predators algorithm for the optimal design of hybrid renewable energy systems; Engineering Applications of Artificial Intelligence: 2022: pp. 104722.
[11]Yousri D, Ousama A, Fathy A, et al. Managing the exchange of energy between microgrid elements based on multi-objective enhanced marine predators algorithm; Alexandria Engineering Journal: 2022; pp. 8487-8505.
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