A Novel Many-Objective Sine–Cosine Algorithm (MaOSCA) for Engineering Applications
In recent times, numerous innovative and specialized algorithms have emerged to tackle two and three multi-objective types of problems. However, their effectiveness on many-objective challenges remains uncertain. This paper introduces a new Many-objective Sine–Cosine Algorithm (MaOSCA), which employ...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-05-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/11/10/2301 |
| _version_ | 1827740885325971456 |
|---|---|
| author | Rama Chandran Narayanan Narayanan Ganesh Robert Čep Pradeep Jangir Jasgurpreet Singh Chohan Kanak Kalita |
| author_facet | Rama Chandran Narayanan Narayanan Ganesh Robert Čep Pradeep Jangir Jasgurpreet Singh Chohan Kanak Kalita |
| author_sort | Rama Chandran Narayanan |
| collection | DOAJ |
| description | In recent times, numerous innovative and specialized algorithms have emerged to tackle two and three multi-objective types of problems. However, their effectiveness on many-objective challenges remains uncertain. This paper introduces a new Many-objective Sine–Cosine Algorithm (MaOSCA), which employs a reference point mechanism and information feedback principle to achieve efficient, effective, productive, and robust performance. The MaOSCA algorithm’s capabilities are enhanced by incorporating multiple features that balance exploration and exploitation, direct the search towards promising areas, and prevent search stagnation. The MaOSCA’s performance is evaluated against popular algorithms such as the Non-dominated sorting genetic algorithm-III (NSGA-III), the Multi-objective Evolutionary Algorithm based on Decomposition (MOEA/D) integrated with Differential Evolution (MOEADDE), the Many-objective Particle Swarm Optimizer (MaOPSO), and the Many-objective JAYA Algorithm (MaOJAYA) across various test suites, including DTLZ1-DTLZ7 with 5, 9, and 15 objectives and car cab design, water resources management, car side impact, marine design, and 10-bar truss engineering design problems. The performance evaluation is carried out using various performance metrics. The MaOSCA demonstrates its ability to achieve well-converged and diversified solutions for most problems. The success of the MaOSCA can be attributed to the multiple features of the SCA optimizer integrated into the algorithm. |
| first_indexed | 2024-03-11T03:31:40Z |
| format | Article |
| id | doaj.art-ca2182ea661d4340af569459c7df5758 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-11T03:31:40Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-ca2182ea661d4340af569459c7df57582023-11-18T02:18:58ZengMDPI AGMathematics2227-73902023-05-011110230110.3390/math11102301A Novel Many-Objective Sine–Cosine Algorithm (MaOSCA) for Engineering ApplicationsRama Chandran Narayanan0Narayanan Ganesh1Robert Čep2Pradeep Jangir3Jasgurpreet Singh Chohan4Kanak Kalita5Department of Computer Science and Engineering, Sona College of Technology, Salem 636005, IndiaSchool of Computer Science and Engineering, Vellore Institute of Technology, Chennai 600127, IndiaDepartment of Machining, Assembly and Engineering Metrology, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, 70800 Ostrava, Czech RepublicRajasthan Rajya Vidyut Prasaran Nigam, Losal, Jaipur 302006, IndiaDepartment of Mechanical Engineering, University Centre for Research & Development, Chandigarh University, Mohali 140413, IndiaDepartment of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi 600062, IndiaIn recent times, numerous innovative and specialized algorithms have emerged to tackle two and three multi-objective types of problems. However, their effectiveness on many-objective challenges remains uncertain. This paper introduces a new Many-objective Sine–Cosine Algorithm (MaOSCA), which employs a reference point mechanism and information feedback principle to achieve efficient, effective, productive, and robust performance. The MaOSCA algorithm’s capabilities are enhanced by incorporating multiple features that balance exploration and exploitation, direct the search towards promising areas, and prevent search stagnation. The MaOSCA’s performance is evaluated against popular algorithms such as the Non-dominated sorting genetic algorithm-III (NSGA-III), the Multi-objective Evolutionary Algorithm based on Decomposition (MOEA/D) integrated with Differential Evolution (MOEADDE), the Many-objective Particle Swarm Optimizer (MaOPSO), and the Many-objective JAYA Algorithm (MaOJAYA) across various test suites, including DTLZ1-DTLZ7 with 5, 9, and 15 objectives and car cab design, water resources management, car side impact, marine design, and 10-bar truss engineering design problems. The performance evaluation is carried out using various performance metrics. The MaOSCA demonstrates its ability to achieve well-converged and diversified solutions for most problems. The success of the MaOSCA can be attributed to the multiple features of the SCA optimizer integrated into the algorithm.https://www.mdpi.com/2227-7390/11/10/2301many-objective optimizationSine–Cosine Algorithmreference point mechanisminformation feedback modelMaOSCA |
| spellingShingle | Rama Chandran Narayanan Narayanan Ganesh Robert Čep Pradeep Jangir Jasgurpreet Singh Chohan Kanak Kalita A Novel Many-Objective Sine–Cosine Algorithm (MaOSCA) for Engineering Applications Mathematics many-objective optimization Sine–Cosine Algorithm reference point mechanism information feedback model MaOSCA |
| title | A Novel Many-Objective Sine–Cosine Algorithm (MaOSCA) for Engineering Applications |
| title_full | A Novel Many-Objective Sine–Cosine Algorithm (MaOSCA) for Engineering Applications |
| title_fullStr | A Novel Many-Objective Sine–Cosine Algorithm (MaOSCA) for Engineering Applications |
| title_full_unstemmed | A Novel Many-Objective Sine–Cosine Algorithm (MaOSCA) for Engineering Applications |
| title_short | A Novel Many-Objective Sine–Cosine Algorithm (MaOSCA) for Engineering Applications |
| title_sort | novel many objective sine cosine algorithm maosca for engineering applications |
| topic | many-objective optimization Sine–Cosine Algorithm reference point mechanism information feedback model MaOSCA |
| url | https://www.mdpi.com/2227-7390/11/10/2301 |
| work_keys_str_mv | AT ramachandrannarayanan anovelmanyobjectivesinecosinealgorithmmaoscaforengineeringapplications AT narayananganesh anovelmanyobjectivesinecosinealgorithmmaoscaforengineeringapplications AT robertcep anovelmanyobjectivesinecosinealgorithmmaoscaforengineeringapplications AT pradeepjangir anovelmanyobjectivesinecosinealgorithmmaoscaforengineeringapplications AT jasgurpreetsinghchohan anovelmanyobjectivesinecosinealgorithmmaoscaforengineeringapplications AT kanakkalita anovelmanyobjectivesinecosinealgorithmmaoscaforengineeringapplications AT ramachandrannarayanan novelmanyobjectivesinecosinealgorithmmaoscaforengineeringapplications AT narayananganesh novelmanyobjectivesinecosinealgorithmmaoscaforengineeringapplications AT robertcep novelmanyobjectivesinecosinealgorithmmaoscaforengineeringapplications AT pradeepjangir novelmanyobjectivesinecosinealgorithmmaoscaforengineeringapplications AT jasgurpreetsinghchohan novelmanyobjectivesinecosinealgorithmmaoscaforengineeringapplications AT kanakkalita novelmanyobjectivesinecosinealgorithmmaoscaforengineeringapplications |