This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

Abstract: In this paper, we address the problem of efficiently computing finite-size approximations of the set of -locally optimal solutions of a given multi-objective optimization problem (MOP). Such ...

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 ...

Pretrained EvoSynth checkpoints are publicly available on Zenodo. They can be downloaded and extracted into the project directory using the following commands: This script runs the dual-target ...

Tourism development in emerging destinations requires balancing economic benefits with ecological sustainability. In this study, we investigate the case of multi-attraction tourism planning in Qujing ...

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Full-depth reclamation with Portland cement (FDR-PC) is a promising technology in modern pavement engineering due to its capability of achieving deep-level treatment of pavement base layer distresses.

Abstract: Multiobjectivization has emerged as a new promising paradigm to solve single-objective optimization problems (SOPs) in evolutionary computation, where an SOP is transformed into a ...