Author:
Milenković Branislav,Krstić Mladen
Abstract
In this paper we will demonstrate how Marine Predators Algorithm (MPA for short) can be used for solving certain optimization problems in applied mechanics. In the first part, biological fundamentals, as well as method explanation are given. Afterwards, MPA algorithm and its ' applicability is explained in detail. The pseudo code for this algorithm was written using Matlab R2019a software suite. This algorithm can be used for optimization o f engineering problems, such as: pressure vessel optimization, cantilever beam optimization, cone clutch optimization and speed reducer optimization. In the end, all the results for the fore mentioned problems, as well as a result comparison with other methods are shown.
Funder
Ministry of Education, Science and Technological Development of the Republic of Serbia
Publisher
Centre for Evaluation in Education and Science (CEON/CEES)
Reference13 articles.
1. Faramarzi A, Heidarinejad M, Mirjalili S, Gandomi A, Marine Predators Algorithm: A nature -inspired metaheuristic, Expert Systems with Applications 152, 113377, 2020;
2. Basset A, Mohamed R, Mirjalili S, Chakrabortty R., Ryan M, An efficient Marine Predators Algorithm for Solving Multi-objective Optimization Problems: Analysis and Validations, IEEE Access PP(99):1-1, March 2021;
3. Soliman M, Hasanien H, Alkuhayli A, Marine Predators Algorithm for Parameters Identification of Triple-Diode Photovoltaic Models, IEEE Access PP(99):1-1, August 2020;
4. Ramezani M, Razmjooy N, A New Improved Model of Marine Predator Algorithm for Optimization Problems, Arabian Journal for Science and Engineering, May 2021;
5. Einstein A, Investigations on the theory o f the Brownian motion, 1956;
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