Jonathan Likoh Juis @ Juise and Nona M. Nistah and Teong, Khan Vun and Hadzariah Ismail (2022) A brief review of multi objective optimization on nature-inspired method.
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Abstract
Industrial change also known as development or industrial revolution pose challenges for optimisation. Most industrial optimisation problems involve multiple objectives, such as increases cost, use of valuable resources and time. Traditional methods are unable to solve modern multiobjective optimisation problems, where the new Priori Method has been proposed to overcome these problems. This paper presents some of the latest nature-inspired methods in multi-objective optimisation that have been proposed since 2010 to the present. It also aims to provide readers with new insights into the latest nature-inspired methods through providing a brief overview of the methods used by identifying them by their features and their evolution. Finally, the problems and challenges, future research and direction of nature-inspired methods in multi-objective optimisation will be discussed.
| Item Type: | Proceedings |
|---|---|
| Keyword: | Optimization, Multi Objective Optimisation, Nature Inspired MOO, Artificial Bee Multi-Colony, Global Artificial Fish Swarm Algorithm, Sperm Fertilisation Procedure |
| Subjects: | Q Science > Q Science (General) > Q1-390 Science (General) Q Science > QL Zoology > QL1-991 Zoology > QL360-599.82 Invertebrates |
| Department: | CENTRE > Preparation Centre for Science and Technology |
| Depositing User: | SITI AZIZAH BINTI IDRIS - |
| Date Deposited: | 10 Oct 2024 16:04 |
| Last Modified: | 10 Oct 2024 16:04 |
| URI: | https://eprints.ums.edu.my/id/eprint/41246 |
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