A Multi-Objective Mathematical Model for the Population-Based Transportation Network Planning

Supat Chupradit, Mohammad A. Tashtoush, Mohammed Yousif Oudah Al-Muttar, Trias Mahmudiono, Ngakan Ketut Acwin Dwijendra, Purnima Chaudhary, Muneam Hussein Ali, Ahmed Alkhayyat, Sutarto

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


The current article introduces a three-objective model for the problem of location, allocation, and routing, taking into account the travel times depending on the population on the route. Objective functions include minimizing the total network transit time, maximizing travel attractiveness for travel applicants, and balanced allocation of travel applicants to each service area. In this research, a general form of the proposed three-objective mathematical planning model is formulated. The proposed model seeks to select a suitable place or places as places of service, allocate people or vehicles in each area to these places and determine the transportation route of each person or vehicle in each area to reach the service provider in question. Getting a direct impact of random factors and population flow on the random travel times of each bow so that all three goals are met simultaneously. The cuckoo optimization algorithm is developed to solve this model. A sample problem is also examined to show the validity and behavior of the proposed model. The numerical results indicate the high performance of the cuckoo optimization algorithm.

Original languageEnglish
Pages (from-to)322-331
Number of pages10
JournalIndustrial Engineering and Management Systems
Issue number2
Publication statusPublished - 2022


  • Cuckoo Optimization Algorithm
  • Location-Allocation-Routing Problem
  • Multi-Objective Mathematical Model
  • Travel Applicants


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