Abstract: This study investigates the application of a Genetic Algorithm (GA) for optimizing scheduling in automated cube storage warehouses, focusing on enhancing logistics processing speed. The ...
Abstract: This paper aims to design sensor scheduling schemes that minimize the LQG cost over a finite-time horizon. The sensor estimates system states and sends data via a multichannel network. With ...
This project implements a genetic algorithm approach to solve the Resource-Constrained Project Scheduling Problem (SRCPSP), which is a well-known NP-hard optimization problem in operations research ...
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