A hybrid particle swarm optimization and simulated annealing algorithm for the job shop scheduling problem with transport resources

DOI10.1016/j.ejor.2022.09.006MaRDI QIDQ6106766

Seyed Mahdi Homayouni, José Fernando Gonçalves, Dalila B. M. M. Fontes

Publication date: 3 July 2023

Published in: European Journal of Operational Research (Search for Journal in Brave)

zbMATH Keywords

schedulingsimulated annealingparticle swarm optimizationjob shop scheduling with transport resourcesjoint production and transport scheduling

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Related Items (1)

A decision variable classification strategy based on the degree of environmental change for dynamic multiobjective optimization

Cites Work

• Tabu search algorithms for job-shop problems with a single transport robot
• A particle swarm optimization algorithm for makespan and total flowtime minimization in the permutation flowshop sequencing problem
• A genetic algorithm approach to the simultaneous scheduling of machines and automated guided vehicles
• A tabu search algorithm for scheduling a single robot in a job-shop environment
• A genetic algorithm with tabu search procedure for flexible job shop scheduling with transportation constraints and bounded processing times
• Optimal scheduling of emergency resources for major maritime oil spills considering time-varying demand and transportation networks
• Planning and control of autonomous mobile robots for intralogistics: literature review and research agenda
• Joint production and transportation scheduling in flexible manufacturing systems
• Integrated production and material handling scheduling using mathematical programming and constraint programming
• Modeling and solution of the joint quay crane and truck scheduling problem
• Julia: A Fresh Approach to Numerical Computing
• A simple metaheuristic approach to the simultaneous scheduling of machines and automated guided vehicles
• New Search Spaces for Sequencing Problems with Application to Job Shop Scheduling
• Computational Complexity of Discrete Optimization Problems
• Genetic Algorithms and Random Keys for Sequencing and Optimization
• A hybrid GA/heuristic approach to the simultaneous scheduling of machines and automated guided vehicles
• A Time Window Approach to Simultaneous Scheduling of Machines and Material Handling System in an FMS

This page was built for publication: A hybrid particle swarm optimization and simulated annealing algorithm for the job shop scheduling problem with transport resources