Bi-objective optimization applying multi-weber problem and planar maximal covering location problem

Authors: Seonga Cho*, University of California, Santa Barbara, Alan Murray, University of California, Santa Barbara, Somayeh Dodge, University of California, Santa Barbara
Topics: Geographic Information Science and Systems, Applied Geography, Location Theory
Keywords: Spatial optimization, Continuous optimization, Multi-weber problem, Continuous maximal covering location problem
Session Type: Virtual Paper
Day: 4/7/2021
Start / End Time: 3:05 PM / 4:20 PM
Room: Virtual 12
Presentation File: No File Uploaded

This research applies bi-objective optimization on exploring optimal outfielder locations in the baseball field. In baseball, outfielders should catch the batted balls in the minimum time. For getting out, the outfielder needs to catch the batted balls before it touches the field. But also, minimizing the distance between the batted ball and the outfielder can decrease the hit’s value. In particular, the outfielders can locate anywhere in the field, so their feasible locations should be considered as a continuous concept. Therefore, this research solves the multi-weber problem and planar maximal covering location problem simultaneously. By exploring the continuous bi-objective optimization problem, this research found superior solution sets than the previous research.

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