Against the background of China’s ambitious dual carbon goals (carbon peaking by 2030 and carbon neutrality by 2060), the transportation sector, as a major source of carbon emissions, shoulders a ...

How to simultaneously locate multiple global peaks and achieve certain accuracy on the found peaks are two key challenges in solving multimodal optimization problems (MMOPs). In this article, a ...

Optimization problems often involve situations in which the user's goal is to minimize and/or maximize not a single objective function, but several, usually conflicting, functions simultaneously. Such ...

Long sales cycles, low conversion volume, and multi-stage purchase journeys make measurement and attribution harder, creating real obstacles to campaign optimization. For B2Bs and brands selling ...

Each year when MD+DI editors sit down to discuss Medtech Company of the Year prospects, the companies that rise to the top for us tend to be those that have had a transformational year either through ...

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 ...

We collaborate with the world's leading lawyers to deliver news tailored for you. Sign Up for any (or all) of our 25+ Newsletters. Some states have laws and ethical rules regarding solicitation and ...

TOKYO/BERLIN, Oct 29 (Reuters) - Global automakers are scrambling to find chips and checking with suppliers to see if they have enough stockpiled, as a deepening semiconductor supply crunch related to ...

Abstract: We propose a quantum computing approach for the solution of NMPC optimization problems. Assuming the availability of an efficient quantum computer, the approach can considerably decrease the ...