Genetic Algorithm can be utilized to solve scheduling problems effectively. In this study, taking into account the success of the Genetic Algorithm in scheduling problems, a software has been developed in the Python environment to ensure the optimal assignment of nurses in clinics. The ...
Pezzella F, Morganti G, Ciaschetti G. A genetic algorithm for the flexible job-shop scheduling problem[J]. Computers & Operations Research, 2008, 35(10): 3202-3212. 本博文所有图片均为该论文截图。 在GitHub上查看本文的代码: https://github.com/mwanggh/FJSSP_GA 编码 使用sequencing list repres...
defsetUp(self):natoms=10minimiser=PeleMinimiser(lj.LJ())self.ga=BatchGeneticAlgorithm(natoms,minimiser,max_generation=20) 浏览完整代码来源:test_batch_ga.py项目:marktoakley/PyBCGA 示例3 ''' The batch GA is designed to be used in conjunction with a task arrays on a scheduling system. The ...
Song Y, Wei L, Yang Q, Wu J, Xing L, Chen Y (2023) Rl-ga: a reinforcement learning-based genetic algorithm for electromagnetic detection satellite scheduling problem. Swarm Evolut Comput 77:101236 Article MATH Google Scholar Xu X, Huang X, Bi D, Zhou M (2023) A combined artificial-...
Assembly lines are still one of the most used manufacturing systems in modern-day production. Most research affects the building of new lines and, less fre
(2023). Integrating unmanned and manned RPAS data network based on combined Bayesian belief network and multi-objective reinforcement learning algorithm. Drone Systems and Applications., 11, 1–17. https://doi.org/10.1139/dsa-2022-0043 Article Google Scholar Monsef, H., Naghashzadegan, M., ...
A Python Implementation of a Genetic Algorithm-based Solution to Vehicle Routing Problem with Time Windows - iRB-Lab/py-ga-VRPTW
For our evaluation, we have developed the proposed GA-based grouping strategy algorithm for IEEE 802.11ah using Python. In this section, we present the tuning of the GA parameters to get the best fitness result in a reduced amount of time. We use a PC with Intel Core i9 at 3.30 GHz and...
knitting workshop; improved genetic algorithm; tabu search; hybrid flow shop scheduling problem1. Introduction At present, the textile industry is one of the pillar industries of China’s national economy, but it is also a labor-intensive industry, facing the problems of low productivity and high...
$ python3 main.py test_data/Brandimarte_Data/Text/Mk02.fjs Test data can be found on this site. References [1] Xinyu Li and Liang Gao. An effective hybrid genetic algorithm and tabu searchfor flexible job shop scheduling problem.International Journal of ProductionEconomics, 174 :93 – 110...