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Souhail Dhouib, Speaker at Nanomaterials Conferences
Higher Institute of Industrial Management, University of Sfax, Tunisia
Title : Optimizing the holes drilling path problem via Dhouib-Matrix Methods

Abstract:

Optimizing the movement of the robot arm in drilling holes leads to increase the productivity through saving time, cost and energy. In the literature, there are different methods that ensure the process of optimization and very recently we have invented the concept of Dhouib-Matrix (DM) which also does. DM gathers several optimization methods (exact, heuristics and metaheuristics). In this presentation, we consider the holes drilling path problem as a Travelling Salesman Problem where the salesman is the robot arm, the cities are the holes and the shortest route cycle for the salesman will be the shortest robot arm movement. Actually, we propose three optimization techniques: 1) the deterministic heuristic Dhouib-Matrix-TSP1 (DM-TSP1) 2) the local search method Far-to-Near (FtN) 3) the novel multi-start metaheuristic Dhouib-Matrix-4 (DM4). The performance of the proposed methods is proved on several standard Printed Circuit Board (PCB) instances (from TSP-LIB). Figure 1 graphically illustrates the drilling path for the u159 problem using DM4.

Biography:

Souhail DHOUIB is a Full Professor at the University of Sfax, Tunisia. His teaching and research interests are related to the areas of Decision Science, Computer Science and Management Science. He is the inventor of Dhouib-Matrix concept which gathers several optimization methods: heuristics (Dhouib-Matrix-TSP1, Dhouib-Matrix-AP1, Dhouib-Matrix-TP1, ... etc.) and metaheuristics (Far-to-Near, Dhouib-Matrix-3, Dhouib-Matrix-4, ... etc.).

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