A Comprehensive Review on Multi-objective Optimization Techniques: Past, Present and Future
Realistic problems typically have many conflicting objectives. Therefore, it is instinctive to look at the engineering problems as multi-objective optimization problems. This paper briefly explains the multi-objective optimization algorithms and their variants with pros and cons. Representative algo...
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| Vydané v: | Archives of computational methods in engineering Ročník 29; číslo 7; s. 5605 - 5633 |
|---|---|
| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Dordrecht
Springer Netherlands
01.11.2022
Springer Nature B.V |
| Predmet: | |
| ISSN: | 1134-3060, 1886-1784 |
| On-line prístup: | Získať plný text |
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| Abstract | Realistic problems typically have many conflicting objectives. Therefore, it is instinctive to look at the engineering problems as multi-objective optimization problems. This paper briefly explains the multi-objective optimization algorithms and their variants with pros and cons. Representative algorithms in each category are discussed in depth. Applications of various multi-objective algorithms in various fields of engineering are discussed. Open challenges and future directions for multi-objective algorithms are suggested. This study covers relevant aspects of multi-objective algorithms that which will help the new researchers to apply these algorithms in their research field. |
|---|---|
| AbstractList | Realistic problems typically have many conflicting objectives. Therefore, it is instinctive to look at the engineering problems as multi-objective optimization problems. This paper briefly explains the multi-objective optimization algorithms and their variants with pros and cons. Representative algorithms in each category are discussed in depth. Applications of various multi-objective algorithms in various fields of engineering are discussed. Open challenges and future directions for multi-objective algorithms are suggested. This study covers relevant aspects of multi-objective algorithms that which will help the new researchers to apply these algorithms in their research field. |
| Author | Sharma, Shubhkirti Kumar, Vijay |
| Author_xml | – sequence: 1 givenname: Shubhkirti surname: Sharma fullname: Sharma, Shubhkirti organization: Computer Science and Engineering Department, National Institute of Technology – sequence: 2 givenname: Vijay orcidid: 0000-0002-3460-6989 surname: Kumar fullname: Kumar, Vijay email: vijaykumarchahar@nith.ac.in organization: Computer Science and Engineering Department, National Institute of Technology |
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