Localisation and Pre-calculation for Anti-missile Defence Shield System

Saeed Saeedvand; Seyed Naser Razavi; Hadi S. Aghdasi

doi:10.14429/dsj.66.8831

Saeed Saeedvand Faculty of Computer Software Engineering, University of Tabriz, Tabriz
Seyed Naser Razavi Faculty of Computer Software Engineering, University of Tabriz, Tabriz
Hadi S. Aghdasi Faculty of Computer Software Engineering, University of Tabriz, Tabriz

DOI: https://doi.org/10.14429/dsj.66.8831

Keywords: Anti-missile systems, missile, genetic algorithm, localisation, prediction

Abstract

One of the most important problems in anti-missile systems is localisation ambulatory missiles’ defence sites along with fixed missiles’ defence sites in best positions to destroy enemy’s missiles. For localisation, there are lots of constraints and consumptions, which should be considered to making predictions in missiles behaviours. An optimum algorithm for localisation of the missiles’ defence sites is provided. Predictions of attackers’ missiles behaviors for assisting real-time defending operations in the defender sites is also provided. One simulator for finding the best places to locate ambulatory missiles’ defence sites presented. This simulator considers fixed and ambulatory missiles’ defence sites along with their parameters to provide best solutions by relying on modified genetic algorithm.

Author Biographies

Saeed Saeedvand, Faculty of Computer Software Engineering, University of Tabriz, Tabriz

Mr Saeed Saeedvand received his BSc (Computer Software Engineering) from Islamic Azad University, in 2011; MSc (Electrical and Computer Engineering) from University of Tabriz, in 2014. He is working as a Lecturer in Islamic Azad University of Iran. Also he is working in Wireless Sensor Network Laboratory at University of Tabriz. His research interest includes: Artificial intelligence, robotic and wireless sensor network.

Seyed Naser Razavi, Faculty of Computer Software Engineering, University of Tabriz, Tabriz

Dr Seyed Naser Razavi received his BSc (Computer Engineering) from Petroleum University of Technology, Tehran, in 2001 and MSc and PhD in Artificial Intelligence from Iran University of Science and Technology, Tehran, in 2004 and 2011, respectively. Currently he is working as an Assistant Professor of Electrical and Computer Engineering Department in University of Tabriz, Tabriz, Iran. His main researches focus on machine learning and swarm intelligence and specifically multi-agent learning and its applications.

Hadi S. Aghdasi, Faculty of Computer Software Engineering, University of Tabriz, Tabriz

Dr Hadi S. Aghdasi received the BS (Computer Engineering) from Sadjad University of Technology, Mashhad, in 2006 and MS and PhD in Computer Engineering from Shahid Beheshti University, Tehran, Iran, in 2008 and 2013, respectively. Currently working as an Assistant Professor at Computer Engineering Department, University of Tabriz, Tabriz, Iran. His current researches includes: Routing and medium access control protocols in wireless sensor networks, topology models, coverage problems, light-weight object detection algorithms, image and video transmission techniques, in visual sensor networks and medium access protocols in vehicular ad hoc networks.