Particle swarm optimization modeling for solid waste collection problem with constraints

Mahmuda Akhtar, M. A. Hannan, Hassan Basri

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

© 2015 IEEE. Solid waste management is a prime concern in any country. Among all the steps of its management, collecting it efficiently is the biggest challenge. Waste collection can be treated as a Vehicle routing problem (VRP) as it involves waste collection vehicles to collect waste from different waste bins. This paper deals with the solid waste collection efficiency improvement by solving optimized route using Travelling Salesman Problem (TSP) and Particle Swarm Optimization (PSO) algorithm. Vehicle routing problem (VRP) for solid waste collection using Particle Swarm Optimization (PSO) is a new concept. Route optimization is modeled considering different scenarios and constraints such as time window, vehicles maximum capacity, percentage of waste level, etc. to find the most efficient route to collect the solid waste. Waste level of the bin can be found using smart bin technology of ZigBee and GSM/GPRS. This study shows overall improved, optimized route. It shows a very impressive result while only bins filled with threshold amount of waste are considered. Algorithm application for finding the optimized route for improving collection efficiencies are the main objective of this study.
Original languageEnglish
DOIs
Publication statusPublished - 01 Sep 2016
Externally publishedYes
Event2015 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2015 -
Duration: 01 Sep 2016 → …

Conference

Conference2015 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2015
Period01/09/16 → …

Fingerprint

Solid wastes
solid waste
Particle swarm optimization (PSO)
Bins
routing
modeling
Vehicle routing
waste management
Traveling salesman problem
Zigbee
Global system for mobile communications
Waste management
waste collection
particle
vehicle

All Science Journal Classification (ASJC) codes

  • Building and Construction
  • Energy(all)
  • Mechanical Engineering
  • Management, Monitoring, Policy and Law

Cite this

Akhtar, M., Hannan, M. A., & Basri, H. (2016). Particle swarm optimization modeling for solid waste collection problem with constraints. Paper presented at 2015 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2015, . https://doi.org/10.1109/ICSIMA.2015.7559025
Akhtar, Mahmuda ; Hannan, M. A. ; Basri, Hassan. / Particle swarm optimization modeling for solid waste collection problem with constraints. Paper presented at 2015 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2015, .
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Akhtar, M, Hannan, MA & Basri, H 2016, 'Particle swarm optimization modeling for solid waste collection problem with constraints', Paper presented at 2015 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2015, 01/09/16. https://doi.org/10.1109/ICSIMA.2015.7559025

Particle swarm optimization modeling for solid waste collection problem with constraints. / Akhtar, Mahmuda; Hannan, M. A.; Basri, Hassan.

2016. Paper presented at 2015 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2015, .

Research output: Contribution to conferencePaper

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Akhtar M, Hannan MA, Basri H. Particle swarm optimization modeling for solid waste collection problem with constraints. 2016. Paper presented at 2015 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2015, . https://doi.org/10.1109/ICSIMA.2015.7559025