Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)

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Advancements and Challenges in Multi-Objective Metaheuristic Optimization for Complex Systems

Authors
Renu Kumari1, Md. Amir Khusru Akhtar1, *
1Faculty of Computing and IT, Usha Martin University, Ranchi, Jharkhand, India, 835103
*Corresponding author. Email: amir@umu.ac.in
Corresponding Author
Md. Amir Khusru Akhtar
Available Online 17 July 2025.
DOI
10.2991/978-94-6463-787-8_36How to use a DOI?
Keywords
Metaheuristic optimization; multi-objective problems; Hybrid algorithms; AI; Big Data
Abstract

Metaheuristic optimization algorithms are getting very popular for solving tough problems with many goals, like in transport, energy, and healthcare. These algorithms are great for handling tricky situations, especially when different goals clash. This paper talks about the latest progress in these algorithms, focusing on hybrid methods that mix the strengths of different techniques to get better results. It also explains why multi-objective optimization is important for complex systems and discusses challenges like handling large problems, finding diverse solutions, and balancing between trying new options and using known ones. The paper shows how new technologies like AI, Big Data, and IoT can make these algorithms work even better. A plan for future research is also given, aiming to create algorithms that can handle big, ever-changing problems. This research helps us understand these algorithms better and gives ideas for improving hybrid techniques in the future.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)
Series
Advances in Intelligent Systems Research
Publication Date
17 July 2025
ISBN
978-94-6463-787-8
ISSN
1951-6851
DOI
10.2991/978-94-6463-787-8_36How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Renu Kumari
AU  - Md. Amir Khusru Akhtar
PY  - 2025
DA  - 2025/07/17
TI  - Advancements and Challenges in Multi-Objective Metaheuristic Optimization for Complex Systems
BT  - Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)
PB  - Atlantis Press
SP  - 463
EP  - 473
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-787-8_36
DO  - 10.2991/978-94-6463-787-8_36
ID  - Kumari2025
ER  -