This chapter describes a solution based on economic markets, in which each vehicle is represented by a software agent. These agents perform several trading activities that mimic the way a rational individual is acting in an economic market, with the egotistical goal of increasing the personal utility that the individual can obtain from trades. The chapter formulates the operational problem in mathematical terms, existing literature and market‐based approach and results for various formulations, representing different optimization goals. Mathematical approaches have the benefit of providing a guarantee on optimality, or at least how far the solution is from an absolute possible optimal solution. Typically, mathematical approaches use a mixed integer linear programming (MILP) approach and utilize the advancements in commercial MILP solvers and computer‐processing power to tackle problems of growing sizes. Heuristic approaches can scale more easily to larger groups of unmanned aerial vehicles (UAVs) and bigger target banks.
Near‐Optimal Assignment of UAVs to Targets Using a Market‐Based Approach
2016-04-08
31 pages
Article/Chapter (Book)
Electronic Resource
English
British Library Conference Proceedings | 2009
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