Application of PIMOGA for Optimization to Upgrade Drainage Gates in Network
Journal Title: International Journal of the Computer, the Internet and Management - Year 2018, Vol 26, Issue 2
Abstract
This article presented the application of PIMOGA method (Partition of Initial Population for Multi-objective Genetic Algorithm) for optimization to upgrade drainage gates in network. Seasonal influences had been implicated in using the Fitness Function with the Holt-Winters' Exponential Smoothing method, and the results focused on finding the answer to the wide drainage suitability (Global Solution) and calculated for upgrading the floodgates. The experiments showed that the PIMOGA method was able to determine the suitability of the flood gates for efficiency improvement. The results of the estimation were based on the MAPE tolerance of 0.033, so this research would enhance the performance of the responsible officer.
Authors and Affiliations
Prudtipong Pengsiri
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