Artificial intelligence is transforming food innovation by accelerating ingredient discovery, optimizing formulations, and enabling personalized nutrition strategies to improve public health outcomes.
The lipid nanoparticles market growth is driven by rising demand for advanced drug delivery systems, increasing adoption of ...
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 ...
Department of Computing, Imperial College London, London SW7 2AZ, U.K. Sargent Centre for Process Systems Engineering, Imperial College London, London SW7 2AZ, U.K. Department of Computing, Imperial ...
This paper presents a novel approach to the joint optimization of job scheduling and data allocation in grid computing environments. We formulate this joint optimization problem as a mixed integer ...
As the pace of change increases in the plastics industry, polymer compounders, producers of resins and additives, and OEMs need to use the latest technology to respond to regulatory, environmental, ...
Cement doesn’t usually come up in conversations about cutting-edge AI. But that might be changing. A research team at Switzerland’s Paul Scherrer Institute (PSI) has created a new AI framework that ...
The objective of the 3D-SCALO problem is to assign the given components to optimal mounting surfaces and position them at the best locations, while satisfying the requirements for (1) heat dissipation ...
Abstract: The aim of the paper presented herein is to propose a new mixed integer formulation and an efficient metaheuristic for the Biobjective Cumulative Capacitated Vehicle Routing Problem that ...
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