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Congress seat allocation using mathematical optimization

Roland Oliver Hales () and Sergio García ()
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Roland Oliver Hales: University of Edinburgh
Sergio García: University of Edinburgh

TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, 2019, vol. 27, issue 3, No 7, 426-455

Abstract: Abstract After the 2015 Spanish general election a row erupted over the allocation of physical seats in the Congress of Deputies, with certain parties left feeling they possessed an inferior selection of seats compared to other parties. Using this as motivation, this paper considers how mathematical optimization can be used to generate seating plans for political chambers, an application that has not been considered before. As well as being in some way ‘fair’ to all parties, the seating plan should ensure that each block of seats is well-defined and compact. Two optimization models are formulated and, due to their complexity, heuristic methods are developed to find ‘good’ solutions. Analysis shows that the heuristics are able to produce visually appealing seating plans for basic cases, but problems can occur when there are additional requirements to be satisfied.

Keywords: Seat allocation; Mixed integer programming; 90C11 Mixed integer programming; 90C27 Combinatorial optimization; 90C90 Applications of mathematical programming (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11750-019-00515-3

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TOP: An Official Journal of the Spanish Society of Statistics and Operations Research is currently edited by Juan José Salazar González and Gustavo Bergantiños

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