Fuzzy optimisation techniques have emerged as a powerful framework for addressing multi-objective programming problems under uncertainty. In classical multi-objective programming, decision-makers seek ...

Abstract: This paper introduces a neurodynamic framework for addressing multi-objective fuzzy optimization problems (MO-FOPs). Due to the inherent conflicts among objectives and the uncertainty in ...

Collaboration will combine Zealand Pharma’s expertise in obesity and metabolic health with OTR Therapeutics’ proprietary oral small-molecule platform and strong drug discovery capabilities, to ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

1 School of Aeronautics and Astronautics, Sun Yat-sen University, Guangzhou, China. 2 School of Science and Technology, Hunan University of Technology, Zhuzhou, China. To address the multicoupling ...

Modern seismic codes ensure life safety, but code-compliant buildings can still suffer significant economic losses from earthquake-induced damage, even during moderate events. Performance-Based ...