Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/578183
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dc.contributor.authorEsam Taha Yassen (UKM)
dc.contributor.authorAnas Arram (UKM)
dc.contributor.authorMasri Ayob (UKM)
dc.contributor.authorMohd Zakree Ahmad Nazri (UKM)
dc.date.accessioned2023-11-06T02:59:00Z-
dc.date.available2023-11-06T02:59:00Z-
dc.date.issued2017-06
dc.identifier.issn0128-7680
dc.identifier.otherukmvital:113367
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/578183-
dc.descriptionPolice patrol routing problem (PPRP) attracts researchers’ attention especially on artifitial inteligence. The challenge here is that a limited number of patrols cover a wide range of area that includes several hotspots. In this study, a new model for PPRP is proposed simulating the Solomon’s benchmark for vehicle routing problem with time windows. This model can solve this problem by maximising the coverage of hotspots with frequencies of high priority locations while ensuring the feasibility of routes. Two constructive greedy heuristics are developed to generate the initial solution of the PPRP: highest priority greedy heuristic (HPGH) and nearest neighbour greedy heuristic (NNGH). Experimental results show that the simulated Solomon’s benchmark is suitable to represent PPRP. In addition, results illustrate that NNGH is more efficient to construct feasible solution than HPGH.
dc.language.isoen
dc.publisherUniversiti Putra Malaysia Press
dc.relation.haspartPertanika Journals
dc.relation.urihttp://www.pertanika.upm.edu.my/view_archives.php?journal=JST-25-S-6
dc.rightsUKM
dc.subjectGreedy heuristic
dc.subjectPolice patrol routing problem
dc.subjectVehicle routing
dc.titleA constructive heuristic for police patrol routing problems
dc.typeJournal Article
dc.format.volume25
dc.format.pages87-96
dc.format.issueSpecial Issue
Appears in Collections:Journal Content Pages/ Kandungan Halaman Jurnal

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