Abstract: The concept of Virtual Computer-Integrated Manufacturing (VCIM) has been proposed for one and a half decade with purpose of overcoming the limitation of traditional Computer-Integrated Manufacturing (CIM) as it only works within an enterprise. VCIM system is a promising solution for enterprises to survive in the globally competitive market because it can exploit effectively locally as well as globally distributed resources. In this paper, a Genetic Algorithm (GA) based approach for optimising resource scheduling in the VCIM system is proposed. Firstly, based on the latest concept of VCIM system, a class of resource scheduling problems in the system is modelled by using agent-based approach. Secondly, GA with new strategies of handling constraint, chromosome encoding, crossover and mutation is developed to search for optimal solution for the problem. Finally, a case study is given to demonstrate the robustness of the proposed approach.

Son Duy Dao, Kazem Abhary and Romeo Marian, “Optimisation of Resource Scheduling in VCIM Systems Using Genetic Algorithm” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 1(8), 2012. http://dx.doi.org/10.14569/IJARAI.2012.010809

@article{Dao2012,
title = {Optimisation of Resource Scheduling in VCIM Systems Using Genetic Algorithm},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2012.010809},
url = {http://dx.doi.org/10.14569/IJARAI.2012.010809},
year = {2012},
publisher = {The Science and Information Organization},
volume = {1},
number = {8},
author = {Son Duy Dao and Kazem Abhary and Romeo Marian}
}