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GECCO
2005
Springer

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

8 years 9 months ago
A case study of process facility optimization using discrete event simulation and genetic algorithm
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. Categories and Subject Descriptors I.6 [Simulation and Modeling]: Discrete event General Terms: Algorithms, Management, Design
Keshav P. Dahal, Stuart Galloway, Graeme M. Burt,
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where GECCO
Authors Keshav P. Dahal, Stuart Galloway, Graeme M. Burt, Jim R. McDonald, Ian Hopkins
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