A new framework of change response for dynamic multi-objective optimization

Integration of preferences in multimodal multi-objective optimization

Z Li, H Rong, J Chen, Z Zhao, Y Huang - Expert Systems with Applications, 2024 - Elsevier
Various existing multimodal multi-objective evolutionary algorithms (MMEAs) efficiently
search for an approximation to the Pareto optimal front (PF), which consists of multiple …
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Solving dynamic multi-objective optimization problem of immersed tunnel elements via multi-source evolutionary information clustering method

Q Fan, W Huang, M Yu, Q Tang, Q Jiang - Engineering Applications of …, 2025 - Elsevier
Dynamic multi-objective optimization problems (DMOPs) are time-and space-varying, thus
maintaining/improving the uncertainty degree of evolutionary information (ie, information …
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Sustainable optimisation of SMEs closed-loop supply chain for lithium battery manufacturing

X Wang, X Liu, Y Huang, T Li - International Journal of Systems …, 2024 - Taylor & Francis
Maintaining the sustainability of small and medium-sized enterprises (SMEs) supply chain
has positive impact on society. Under the ripple effect, the vulnerability of the SMEs supply …
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A Multi-objective Leagile Demand-Driven Optimization Model incorporating a Reliable Omnichannel Retailer: A Case Study

FJ Gargari, Z Saeidi-Mobarakeh… - Journal of Industrial …, 2023 - search.proquest.com
This research proposed a comprehensive model designed for the optimization of supply
chain networks, particularly emphasizing leagile demand-driven systems within the context …
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A Multi-objective Leagile Demand-Driven Optimization Model incorporating a Reliable Omnichannel Retailer: A Case Study

F Javadi Gargari, Z Saeidi-Mobarakeh… - Journal of Industrial …, 2024 - sanad.iau.ir
This research proposed a comprehensive model designed for the optimization of supply
chain networks, particularly emphasizing leagile demand-driven systems within the context …
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