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 ...
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 ...
When I first started working with multi-agent collaboration (MAC) systems, they felt like something out of science fiction. It’s a group of autonomous digital entities that negotiate, share context, ...
ABSTRACT: With their very high fermentable sugar content, rotten oranges stand out as one of the raw materials of choice to maximize bioethanol production. This work was deliberately aimed to evaluate ...
Abstract: The recycling process plays a pivotal role in disassembly and assembly systems, whether isolated or integrated. However, traditional line balancing methods optimize physical processes but ...
Depending on where you hang out on the internet, the novelist R.F. Kuang is either an inescapable juggernaut (BookTok, YouTube, Reddit) or a relative unknown—her most celebrated book, 2022’s Babel, ...
Abstract: Multiobjective combinatorial optimization (MOCO) problems have a wide range of applications in the real world. Recently, learning-based methods have achieved good results in solving MOCO ...
Human life is deeply influenced by infectious diseases. A vaccine, when available, is one of the most effective ways of controlling the spread of an epidemic. However, vaccine shortage and uncertain ...
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