https://doi.org/10.1140/epjs/s11734-021-00206-w
Review
Multi-objective optimization techniques: a survey of the state-of-the-art and applications
Multi-objective optimization techniques
1
Technology Studies Department, Endicott College of International Studies, Woosong University, 34606, Daejeon, South Korea
2
Department of Computer Science and Engineering, Indian Institute of Technology Patna, 801103, Bihar, India
Received:
19
January
2021
Accepted:
22
June
2021
Published online:
1
September
2021
In recent years, multi-objective optimization (MOO) techniques have become popular due to their potentiality in solving a wide variety of real-world problems, including bioinformatics, wireless networks, natural language processing, image processing, astronomy and astrophysics, and many more. In the current paper, we have presented a survey of recently developed MOO-based algorithms. Some of the applications, along with possible future research directions, are also discussed.
© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2021
