Optimizing Waste Collection Routes with QPSO-LR Algorithm and IoT Sensors
The proliferation of waste generation has highlighted the need for advanced technologies in solid waste management, a key factor in ecosystem pollution. Inadequate collection methods have worsened waste accumulation, especially in urban areas. This paper presents a web application that uses the Lorentz Quantum Particle Swarm Optimization algorithm (QPSO-LR) to optimize waste collection routes based on designated collection points. The QPSO-LR algorithm significantly reduces collection distance and time, improving operational efficiency and lowering environmental impact. This application streamlines waste collection, ensuring more timely and effective disposal.
Authors
- Washington Velásquez (ORCID: https://orcid.org/0000-0002-3999-9769)
- Manuel S. Alvarez‐Alvarado (ORCID: https://orcid.org/0000-0002-0398-9235)
- Javier Dillon-Jimenez
- Danny Medina-Moncayo
Institutions
- Escuela Superior Politecnica del Litoral (EC)
Publication Details
- Published
- 2024-08-21
- DOI
- https://doi.org/10.1109/colcom62950.2024.10720265
- Citations
- 2
- Primary Topic
- IoT-based Smart Home Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.42