Cabling and cost optimization system for IP based networks through genetic algorithm

• Main Authors: Balubal, Charmaine B., Bernardo, Angela Rachel D., Lasheras, Bryan Lloyd L., Uyehara, Regina A., Bandala, Argel A., Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2014
• Subjects: Cables; Internet Protocol multimedia subsystem; Genetic algorithms; Electrical and Computer Engineering; Electrical and Electronics
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3357; https://animorepository.dlsu.edu.ph/context/faculty_research/article/4359/type/native/viewcontent/tenconspring.2014.6863056
• Institution: De La Salle University

The creation of an optimized cabling plan in terms of cost through optimized cable length was introduced in this study. The researchers designed a system that utilized Genetic Algorithm for the said optimization. This system was integrated in a graphical user interface created using visual c# language which enables the users to upload an image representing the floor plan of the desired network to be optimized. The user can then place specified components on the floor plan. Lastly, the system will generate the optimized cabling plan which the user can readily print. Furthermore, a complete bill of materials and costing report will be generated also. The system generated these outputs by using genetic algorithm in the graphical inputs which were processed and converted in numerical representations. Upon accomplishing all the experimentations, the system yielded 99.51% optimization accuracy with 99.02% as the highest optimization level generated after accomplishing 100 trials on 10 different floor plans. © 2014 IEEE.