location: Current position: Home >> Scientific Research >> Paper Publications

A Cooprative Hybrid Evolutionary Algorithm for Flexible Scheduling with AGVs

Hits:

Date of Publication:2024-05-21

Journal:ICSMD 2023 - International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, Proceedings

Key Words:Automated guided vehicles; Co-evolutionary algorithm; Complexity constraints; Cooperative co-evolutionary algorithm; Flexible job-shop scheduling; Flexible job-shop scheduling problem; Flexible scheduling; Hybrid evolutionary algorithm; Job shop scheduling; Mobile robots; Particle swarm optimization (PSO); Scheduling algorithms; Stochasticity

Pre One:An Evolutionary Algorithm-Based Neural Architecture Search for Feature Separation in Classification Problems

Next One:A Hybrid Particle Swarm Optimization based on Q-Learning for Multiobjective Distributed Flow-Shop Scheduling Problem