Multi-edge delivery promised resilience and performance, but complexity held it back. New orchestration models are turning a ...
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 ...
Abstract: Multi-party multi-objective optimization, which aims to find a solution set that satisfies multiple decision makers (DMs) as much as possible, has attracted the attention of researchers ...
ABSTRACT: The article is devoted to decision making regarding controlling the operation of tubular gas heaters (TGH) on wood pellets. Experimental results of the study of the operation of TGH on ...
Abstract: This paper studies the multi-objective optimization problems (MOPs) of Markovian jump systems (MJSs) closed by general controllers. Firstly, the linear quadratic regulator (LQR) problem of ...
Stakeholders across the food system are racing to reach a fast-approaching national goal: halving food waste by 2030. But they are lagging. Americans wasted 91 million tons of food in 2021 ...
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