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Survey on Meta-Heuristic Algorithms for Solving Vehicle Route Problems in a Waste Collection System

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Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications

Abstract

Population growth, rapid urbanization, industrialization, and economic development have led to an increase in municipal waste generation at a dangerous rate globally. Thus, priority and attention should be given to this sector by developing an effective waste collection process while saving time, fuel, and maintenance costs. This paper aims to present a survey of the municipal waste management system regarding the waste collection stage, constraints on municipal waste, and methods. Various types of improvement objectives and decision variables are highlighted to improve waste collection and reduce cost. Moreover, this survey has classified the improvement methods available to provide understanding to readers. Besides, future research gaps were identified by investigating the available issues and main challenges of the current methods.

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Acknowledgment

This research is partially supported by the Fundamental Research Grant Scheme: FRGS/1/2019/TK04/USM/02/12.

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Correspondence to Rosmiwati Mohd-Mokhtar .

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Sahib, T.M., Mohd-Mokhtar, R., Kassim, A.M. (2022). Survey on Meta-Heuristic Algorithms for Solving Vehicle Route Problems in a Waste Collection System. In: Mahyuddin, N.M., Mat Noor, N.R., Mat Sakim, H.A. (eds) Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications. Lecture Notes in Electrical Engineering, vol 829. Springer, Singapore. https://doi.org/10.1007/978-981-16-8129-5_57

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