AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
An intelligent scheduling methodology for Reconfigurable Manufacturing Systems (RMS) that integrates Petri Net (PN) modeling with heuristic and metaheuristic optimization techniques that achieves both efficient scheduling and practical industrial applicability is proposed.
The findings demonstrate how mathematical optimization and advanced metaheuristics can be combined with problem-specific structural insights to improve solution quality and computational efficiency in production and operations research.
The dynamic scheduling of ready-mixed concrete constitutes a critical bottleneck in construction automation. Following the design science paradigm and informed by a systematic literature review, this study develops the multistrategy ant colony optimization (MSACO) algorithm, which integrates three mechanisms: adapt...
Experimental results show that the improved algorithm achieves an optimal Makespan value of 190 in dynamic disturbance scenarios and exhibits strong robustness, providing an efficient and feasible solution for job shop scheduling in complex production environments.
In modern manufacturing systems, integrating preventive maintenance into production scheduling is essential to ensure operational efficiency and equipment reliability. This paper addresses the flexible job shop scheduling problem under machine unavailability constraints caused by non‐fixed maintenance tasks. We propo...
The goal of this study is to assess the important relationship between metaheuristic hybridization and dynamic batch scheduling serviceability performance across flow time efficiency, convergence speed, and sequence stability parameters. By analyzing the impact of a tightly coupled Hybrid ACO–GA framework on these para...
This study aims to minimize the makespan while considering sequence-dependent setup times for both machines and work orders and proposes a genetic algorithm integrating reinforcement learning and variable neighborhood search.
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