In this paper, we propose a generic approach to find compromise solutions for multiple-objective scheduling problems using metaheuristics. As an illustration, we present a new hybrid tabu ...
https://doi.org/10.2307/2583200 • https://www.jstor.org/stable/2583200 Copy URL A linear programming problem is presented to solve a problem in determining how many ...
This paper delves into how to collaboratively reduce emissions of sulfur dioxide, nitrogen oxides, and carbon dioxide through rational energy consumption and governance investment strategies with ...
Abstract: One of the essential problems of aerospace batch production management is to ensure that production material is supplied in time, and to strengthen the control management of suppliers. A ...
Abstract: Genetic programming has been positioned as a fit-for-purpose approach for symbolic regression. Researchers tend to select algorithms that produce a model with low complexity and high ...
In Part 2 of this series, MathWorks' Heather Gorr details how to take advantage of Python-based AI and ML libraries via MATLAB. This illustration shows the integration of MATLAB and Simulink with ...
Multiple languages expand problem-solving approaches. Coding skills improvement comes from varied syntax and logic. Software development growth relies on adaptable, multi-language coders. With over ...
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