A case study of process facility optimization using discrete event simulation and genetic algorithm

Dahal, K. and Galloway, S.J. and Burt, G.M. and McDonald, J.R. and Hopkins, I.; Beyer, Hans-Georg, ed. (2005) A case study of process facility optimization using discrete event simulation and genetic algorithm. In: GECCO '05: Proceedings of the 7th annual conference on Genetic and evolutionary computation. ACM, USA, 2197–2198. ISBN 978-1-59593-010-1 (https://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/do...)

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Abstract

Optimization problems such as resource allocation, job-shop scheduling, equipment utilization and process scheduling occur in a broad range of processing industries. This paper presents modeling, simulation and optimization of a port facility such that effective operational management is obtained. A GA base approach has been integrated with the port system model to optimize its operation. A case study of bulk material port handling systems is considered.