{ "item_title" : "Implementation of the Metaheuristic Tabu Search in Route Selection for Mobility Analysis Support System", "item_author" : [" David M. Ryer "], "item_description" : "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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/28/830/258/1288302584_b.jpg", "price_data" : { "retail_price" : "57.95", "online_price" : "57.95", "our_price" : "57.95", "club_price" : "57.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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