Ant Colony Optimization Software Development as a Solid Waste Management System | Chapter 01 | Emerging Issues in Science and Technology Vol. 2
In this paper a Decision Support System
named W8st colSoft is developed by employing dynamic programming and swarm
intelligence model encoded in Visual Basic Studio 10.0. Solved solutions from
literatures were used to validate the developed decision support system. The
results obtained from these validation presented an average error margin of
2.58% when compared with that from literature. Also, in order to present the
scalability of the swarm intelligence model employed in the developed decision
support system, it was used as a decision tool to analyze the collection of
solid waste of the University of Port Harcourt three campuses as a whole,
unlike recent publication where it was analyzed Campus-wise. The resultant
optimal path from the analysis presented a total distance of 15,682 m saving a
total distance of 17.15 m when compared with other route options. Additionally,
an Evolutionary Algorithm in Microsoft Excel 2013 was applied to the University
of Port Harcourt four campus segments and the results were compared with those
of the Proposed model. The percentage error margin between Evolutionary
Algorithm and the Proposed model prediction ranges from -0.34 to 11.27. The
Proposed model was able to achieve optimum value with minimum number of
iterations in all cases and this is an advantage.
Author(s) Details
Oghenefejiri Bovwe
World Bank Africa Centre of
Excellence, University of Port Harcourt, Nigeria.
Ify L. Nwaogazie
Department of Civil and
Environmental Engineering, University of Port Harcourt, Nigeria.
J. C. Agunwamba
Department of Civil
Engineering, University of Nigeria, Nsukka, Nigeria.
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