Journal
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
Volume 73, Issue 6, Pages 1325-1346Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/01605682.2021.1895684
Keywords
Routing; election logistics; travelling politician problem; iterated local search; variable neighbourhood descent; scenario analysis
Funding
- Istanbul Commerce University [32/2020/50]
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This paper discusses the multi-period travelling politician problem and proposes a hybrid metaheuristic method to solve it, which outperforms other methods in experimental results. The paper provides valuable practical insights that can assist campaign planners in making strategic decisions.
This paper studies the multi-period travelling politician problem whose objective is to maximise the net benefit accrued by a party leader during a fixed campaign period. The problem is also characterised by flexible depots since the daily tours realised by the party leader may not start and end at the same city. A hybrid multi-start Iterated Local Search method complemented with a Variable Neighbourhood Descent is developed to solve the problem heuristically. Two constructive procedures are devised to generate initial feasible solutions. The proposed method is tested on 45 problem instances involving 81 cities and 12 towns in Turkey. Computational results show that the hybrid metaheuristic approach outperforms a recently proposed two-phase matheuristic by producing 7 optimal solutions and 17 new best solutions. In addition, interesting practical insights are provided using scenario analysis that could assist campaign planners in their strategic decisions.
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