IEEE

Niching Genetic Programming to Learn Actions for Deep Reinforcement Learning in Dynamic Flexible Scheduling

Abstract: dynamic flexible job shop scheduling (DFJSS) is a critical combinatorial optimization problem known for its dynamic nature and flexibility of machines. Traditional scheduling methods face ...
IEEE

Intelligent Omni-Surface-Aided Integrated Sensing and Communications Based on Deep Reinforcement Learning With Knowledge Transfer

Abstract: This paper investigates an intelligent omni-surface (IOS)-assisted integrated sensing and communication (ISAC) system, where a base station provides both target sensing and communication ...

I built two apps with just my voice and a mouse - are IDEs already obsolete?

With one hand holding my dog and no keyboard, I advanced two serious development projects using AI prompting, proving that ...
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Linear Programming problem learn how to solve

Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of ...