MOMPA: Multi-objective marine predator algorithm for solving multi-objective optimization problems

This paper proposes a new multi-objective algorithm, called Multi-Objective Marine-Predator Algorithm (MOMPA), dependent on elitist non-dominated sorting and crowding distance mechanism. The proposed algorithm is based on the recently proposed Marine-Predator Algorithm, and it was inspired by biolog...

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Published in:	Evolutionary intelligence Vol. 16; no. 1; pp. 169 - 195
Main Authors:	Jangir, Pradeep, Buch, Hitarth, Mirjalili, Seyedali, Manoharan, Premkumar
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2023 Springer Nature B.V
Subjects:	Algorithms Applications of Mathematics Archives & records Artificial Intelligence Benchmarks Bioinformatics Control Crowding Design engineering Engineering Heuristic Linear programming Mathematical and Computational Engineering Mechatronics Multiple objective analysis Objectives Optimization Pareto optimization Pareto optimum Predators Research Paper Robotics Statistical Physics and Dynamical Systems Success Crowding distance Multi-objective optimization Real-world engineering problems Metaheuristics Non-dominated sorting mechanism
ISSN:	1864-5909, 1864-5917
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Abstract	This paper proposes a new multi-objective algorithm, called Multi-Objective Marine-Predator Algorithm (MOMPA), dependent on elitist non-dominated sorting and crowding distance mechanism. The proposed algorithm is based on the recently proposed Marine-Predator Algorithm, and it was inspired by biological interaction between predator and prey. The proposed MOMPA can address multiple and conflicting objectives when solving optimization problems. The MOMPA is formulated using elitist non-dominated sorting and crowding distance mechanisms. The proposed method is tested on various multi-objective case studies, including 32 unconstrained, constraint, and engineering design problems with different linear, nonlinear, continuous, and discrete characteristics-based Pareto front problems. The results of the proposed MOMPA are compared with several well-regarded Multi-Objective Water-Cycle Algorithm, Multi-Objective Symbiotic-Organism Search, Multi-Objective Moth-Flame Optimizer algorithms qualitatively and quantitatively using several performance indicators. The experimental results demonstrate the merits of the proposed method.
AbstractList	This paper proposes a new multi-objective algorithm, called Multi-Objective Marine-Predator Algorithm (MOMPA), dependent on elitist non-dominated sorting and crowding distance mechanism. The proposed algorithm is based on the recently proposed Marine-Predator Algorithm, and it was inspired by biological interaction between predator and prey. The proposed MOMPA can address multiple and conflicting objectives when solving optimization problems. The MOMPA is formulated using elitist non-dominated sorting and crowding distance mechanisms. The proposed method is tested on various multi-objective case studies, including 32 unconstrained, constraint, and engineering design problems with different linear, nonlinear, continuous, and discrete characteristics-based Pareto front problems. The results of the proposed MOMPA are compared with several well-regarded Multi-Objective Water-Cycle Algorithm, Multi-Objective Symbiotic-Organism Search, Multi-Objective Moth-Flame Optimizer algorithms qualitatively and quantitatively using several performance indicators. The experimental results demonstrate the merits of the proposed method.
Author	Jangir, Pradeep Manoharan, Premkumar Buch, Hitarth Mirjalili, Seyedali
Author_xml	– sequence: 1 givenname: Pradeep orcidid: 0000-0001-6944-4775 surname: Jangir fullname: Jangir, Pradeep email: sbp_140310707009@gtu.edu.in, pkjmtech@gmail.com organization: Rajasthan Rajya Vidyut Prasaran Nigam Ltd – sequence: 2 givenname: Hitarth surname: Buch fullname: Buch, Hitarth organization: Government Engineering College – sequence: 3 givenname: Seyedali surname: Mirjalili fullname: Mirjalili, Seyedali organization: Centre for Artificial Intelligence Research and Optimisation, Torrens University Australia, Yonsei Frontier Lab, Yonsei University – sequence: 4 givenname: Premkumar surname: Manoharan fullname: Manoharan, Premkumar organization: Department of Electrical and Electronics Engineering, Dayananda Sagar College of Engineering
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SubjectTerms	Algorithms Applications of Mathematics Archives & records Artificial Intelligence Benchmarks Bioinformatics Control Crowding Design engineering Engineering Heuristic Linear programming Mathematical and Computational Engineering Mechatronics Multiple objective analysis Objectives Optimization Pareto optimization Pareto optimum Predators Research Paper Robotics Statistical Physics and Dynamical Systems Success
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Title	MOMPA: Multi-objective marine predator algorithm for solving multi-objective optimization problems
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