A genetic algorithm for flowshop sequencing
Computers and Operations Research - Special issue on genetic algorithms
Minmax earliness/tardiness scheduling in identical parallel machine system using genetic algorithms
ICC&IE '94 Proceedings of the 17th international conference on Computers and industrial engineering
Hybrid flow shop scheduling: a survey
Computers and Industrial Engineering
Makespan minimization for flow-shop problems with transportation times and a single robot
Discrete Applied Mathematics - Special issue on the combinatorial optimization symposium
An Electromagnetism-like Mechanism for Global Optimization
Journal of Global Optimization
Design and Analysis of Experiments
Design and Analysis of Experiments
A memetic algorithm for the flexible flow line scheduling problem with processor blocking
Computers and Operations Research
Integrating simulation and optimization to schedule a hybrid flow shop with maintenance constraints
Computers and Industrial Engineering
Modular design of a hybrid genetic algorithm for a flexible job-shop scheduling problem
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
Circle detection using electro-magnetism optimization
Information Sciences: an International Journal
A decision support system for managing combinatorial problems in container terminals
Knowledge-Based Systems
Self-Optimization module for Scheduling using Case-based Reasoning
Applied Soft Computing
Computers and Industrial Engineering
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This paper presents an efficient meta-heuristic algorithm based on electromagnetism-like mechanism (EM), in which has been successfully implemented in a few combinatorial problems. We propose the EM for scheduling the flow shop problem that minimizes the makespan and total weighted tardiness and considers transportation times between machines and stage skipping (i.e., some jobs may not need to be processed on all the machines). To show the efficiency of this proposed algorithm, we also apply simulated annealing (SA) and some other well-recognized constructive heuristics, such as SPT, NEH, (g/2, g/2) Johnson' rule, EWDD, SLACK, and NEH_EWDD for the given problems. To evaluate the performance and robustness of our proposed EM, we experiment a number of test problems. Our computational results show that our proposed EM in almost all cases outperforms SA and other foregoing heuristics applied to this paper.