In response to the problem that it is easy to fall into local optimum when using the traditional clustering algorithm to divide the modules, this paper improves the initialisation strategy of the ...

Abstract: This paper proposes an improved non-dominated sorting genetic algorithm (NSGA2)-DNSGA2, with the aim of preserving diversity of obtained optimal solution and avoiding the original NSGA2 ...

Abstract: The NSGA2 algorithm is one of the effective methods to solve multi-objective flexible job shop scheduling problems (MOFJSP). An improved NSGA2 algorithm is proposed to solve the MOFJSP model ...

Based on the actual situation of the factory (For example, specific hardware conditions of the factory, specific concerns of the factory, and so on.), necessary adjustments have been made to ...

A high-performance, modular Go library for exploring and applying genetic algorithms, with a special focus on multi-objective graph layout optimization. This project is the artifact of the research ...

You can review the article of the NSGA2 algorithm that I use in my real life projects and explain in my trainings. #optimization #operationsresearch ...