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Implementation of the Metaheuristic Tabu Search in Route Selection for Mobility Analysis Support System

by David M. Ryer
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Current price ₹5,110.00
Original price ₹5,974.00
Original price ₹5,974.00
Original price ₹5,974.00
(-14%)
₹5,110.00
Current price ₹5,110.00

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Book cover type: Paperback
  • ISBN13: 9781288302581
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Biblioscholar
  • Publisher Imprint: Biblioscholar
  • Publication Date:
  • Pages: 114
  • Original Price: GBP 45.95
  • Language: English
  • Edition: N/A
  • Item Weight: 218 grams
  • BISAC Subject(s): General

This thesis employs a reactive tabu search heuristic implemented in the Java programming language to solve a real world variation of the vehicle routing problem with the objective of providing quality routes to Mobility Analysis Support System (MASS). MASS is a stochastic simulation model used extensively by Air Mobility Command (AMC) to analyze strategic airlift capabilities and future procurement decisions. This dynamic real world problem of strategic and tactical airlift possesses a number of side constraints such as vehicle capacities, route length and time windows in a sizeable network with multiple depots and a large fleet of heterogeneous vehicles. Finding optimal solutions to this problem is currently not practical. Currently, MASS requires all possible routes used in its simulation to be manually selected. As a result, the route selection process is a tedious and time consuming process that relies on experience and past performance of the model to obtain quality routes for the mobility system.

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