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Dtic Ada248208%3a An A Priori Multiobjective Optimization Model Of A Search And Rescue Network by Defense Technical Information Center
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1DTIC ADA248208: An A Priori Multiobjective Optimization Model Of A Search And Rescue Network
By Defense Technical Information Center
The purpose of this study was to determine the most robust frequency assignment for a search and rescue network. The focus was to assign weights to the transmitter areas of the network to determine which weight sequence produced the most robust frequency assignment. The DoD furnished weight sequences for twelve two-hour time blocks. These weight sequences were compared to a weight sequence with all weights having equal value. Network and linear programming were used to-solve this problem and generate frequency assignments for all weight sequences. Classical and tolerance sensitivity analysis were used to analyze the frequency assignments generated by the different weight sequences. The weight sequence with all weights of equal value produced the most robust frequency assignments for all time blocks.
“DTIC ADA248208: An A Priori Multiobjective Optimization Model Of A Search And Rescue Network” Metadata:
- Title: ➤ DTIC ADA248208: An A Priori Multiobjective Optimization Model Of A Search And Rescue Network
- Author: ➤ Defense Technical Information Center
- Language: English
“DTIC ADA248208: An A Priori Multiobjective Optimization Model Of A Search And Rescue Network” Subjects and Themes:
- Subjects: ➤ DTIC Archive - Imsand, Joseph C , Jr - AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING - *NETWORK ANALYSIS(MANAGEMENT) - *SEARCH AND RESCUE - *FREQUENCY ALLOCATION - FREQUENCY - OPTIMIZATION - MODELS - NETWORKS - RESCUES - LINEAR PROGRAMMING - THESES - SENSITIVITY - VALUE - SEQUENCES - PROBLEM SOLVING - TIME - WEIGHT - TOLERANCE - ALLOCATIONS - TRANSMITTERS
Edition Identifiers:
- Internet Archive ID: DTIC_ADA248208
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The book is available for download in "texts" format, the size of the file-s is: 47.32 Mbs, the file-s for this book were downloaded 73 times, the file-s went public at Tue Mar 06 2018.
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