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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. (2005) A case study of process facility optimization using discrete event simulation and genetic algorithm. In: Genetic and Evolutionary Computation Conference, 2005-06-25 - 2005-06-29.

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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.