Nature-Inspired Heuristic Frameworks Trends in Solving Multi-objective Engineering Optimization Problems

Nowadays, nature-inspired artificial intelligent metaheuristic optimization algorithms (MHOAs) have gained many attentions from researchers all over the world due to their capabilities in solving various decision-making problems. These algorithms are inspired and modelled based on the searching beha...

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Bibliographic Details

Main Authors:	Chang C.C.W., Ding T.J., Ee C.C.W., Han W., Paw J.K.S., Salam I., Bhuiyan M.A.S., Kuan G.S.
Other Authors:	57473577900
Format:	Review
Published:	Springer Science and Business Media B.V. 2025
Subjects:	Benchmarking Biomimetics Decision making Multiobjective optimization Artificial intelligent Decision-making problem Engineering optimization problems Metaheuristic optimization Multi objective Optimization algorithms Review papers Search mechanism Searching behavior State of the art Heuristic algorithms
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