An innovative deep reinforcement learning-driven cutting parameters adaptive optimization method taking tool wear into account
Z Gao, N Chen, Y Yang, L Li - Measurement, 2024 - Elsevier
Tool wear is critically important for the optimization of cutting parameters. However, the
increasing nature of tool wear presents challenges to traditional meta-heuristic cutting …
increasing nature of tool wear presents challenges to traditional meta-heuristic cutting …
[PDF][PDF] Q-Learning-Assisted Meta-Heuristics for Scheduling Distributed Hybrid Flow Shop Problems.
Q Zhu, K Gao, W Huang, Z Ma… - Computers, Materials & …, 2024 - cdn.techscience.cn
The flow shop scheduling problem is important for the manufacturing industry. Effective flow
shop scheduling can bring great benefits to the industry. However, there are few types of …
shop scheduling can bring great benefits to the industry. However, there are few types of …
Coordinated active-reactive power optimisation of a distribution system based on a hyper-heuristic algorithm
MJ Cong, Y Zhao - Journal of Physics: Conference Series, 2024 - iopscience.iop.org
As an important part of the power system, the effective operation of the distribution system is
essential to guarantee the security and stability of the whole power grid, and the …
essential to guarantee the security and stability of the whole power grid, and the …
A hybrid algorithm of particle swarm optimization and genetic algorithm with application in automatic replenishment model
X Cai, X Sun, Y Fan, T Liu - Third International Conference on …, 2024 - spiedigitallibrary.org
This paper proposes a hybrid algorithm of particle swarm optimization and genetic algorithm
named PSO-GA, which combines the advantages of genetic algorithm's population diversity …
named PSO-GA, which combines the advantages of genetic algorithm's population diversity …