Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Optimization algorithms for resource allocation problem of air tasking order preparation
Download
index.pdf
Date
2010
Author
Bayrak, Ahmet Engin
Metadata
Show full item record
Item Usage Stats
265
views
112
downloads
Cite This
In recent years, evolving technology has provided a wide range of resources for Military forces. However, that wideness also caused resource management difficulties in combat missions. Air Tasking Order (ATO) is prepared for various missions of air combats in order to reach objectives by an optimized resource management. Considering combinatorial military aspects with dynamic objectives and various constraints; computer support became inevitable for optimizing the resource management in air force operations. In this thesis, we study different optimization approaches for resource allocation problem of ATO preparation and analyze their performance. We proposed a genetic algorithm formulation with customized encoding, crossover and fitness calculation mechanisms by using the domain knowledge. A linear programming formulation of the problem is developed by integer decision variables and it is used for effectivity and efficiency analysis of genetic algorithm formulations.
Subject Keywords
Electronic computers.
,
Computer science.
URI
http://etd.lib.metu.edu.tr/upload/12612325/index.pdf
https://hdl.handle.net/11511/19839
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Target clasification and recognition using underwater acoustic signals
Yağcı, Tayfun; Coşar, Ahmet; Department of Computer Engineering (2005)
Nowadays, fulfillment of the tactical operations in secrecy has great importance for especially subsurface and surface warfare platforms as a result of improvements in weapon technologies. Spreading out of the tactical operations to the larger areas has made discrimination of targets unavoidable. Due to enlargement of the weapon ranges and increasing subtle hostile threats as a result of improving technology, أvisualؤ target detection methods left the stage to the computerized acoustic signature detection a...
Direct perception of traversibility affordance on range images through learning on a mobile robot
Uğur, Emre; Şahin, Erol; Department of Computer Engineering (2006)
In this thesis, we studied how physical affordances of the environment, such as traversibility for a mobile robot, can be learned. In particular, we studied how the physical properties of the environment, as acquired from range images obtained from a 3D laser scanner mounted on a mobile robot platform, can specify the traversibility affordance. A physics based simulation environment is used during exploration trials, where the traversibility affordances and the relevant features for each behavior are learne...
Optimized Unmanned Aerial Vehicles Deployment for Static and Mobile Targets' Monitoring
Al-Turjman, Fadi; Zahmatkesh, Hadi; Al-Oqily, Ibrhaim; Daboul, Reda (Elsevier BV, 2020-01-01)
In the recent decade, drones or Unmanned Aerial Vehicles (UAVs) are getting increasing attention by both industry and academia. Due to the support of advanced technologies, they might be soon an integral part of any smart-cities related project. In this paper, we propose a cost-effective framework related to the optimal placement of drones in order to monitor a set of static and/or dynamic targets in the IoT era. The main objective of this study is to minimize the total number of drones required to monitor ...
Optical design and analysis of a riflescope system
Bayar, Cevdet; Esendemir, Akif; Department of Physics (2009)
Today, riflescope systems are used widely, mostly by military forces. In this study, a riflescope working in the visible range (400-700 nm) will be designed. The riflescope will have 3 degrees field of view and maximum 15 cm total track. Total design length is limited to 15 cm because a short riflescope is more stabilized than a long one with respect to thermal instability and vibrational effects. Taken into account the cost factor, only two types of glasses will be used in the design. One of them is NBK7 a...
Swarm robotics: From sources of inspiration to domains of application
Şahin, Erol (Springer Verlag; 2005-09-01)
Swarm robotics is a novel approach to the coordination of large numbers of relatively simple robots which takes its inspiration from social insects. This paper proposes a definition to this newly emerging approach by 1) describing the desirable properties of swarm robotic systems, as observed in the system-level functioning of social insects, 2) proposing a definition for the term swarm robotics, and putting forward a set of criteria that can be used to distinguish swarm robotics research from other multi-r...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
A. E. Bayrak, “Optimization algorithms for resource allocation problem of air tasking order preparation,” M.S. - Master of Science, Middle East Technical University, 2010.