Abstract
The article discusses the utilitarian problem of the mobile collection of waste electrical and electronic equipment. Due to its NP-hard nature, implies the application of approximate methods to discover suboptimal solutions in an acceptable time. The paper presents the proposal of a novel method of designing the Evolutionary and Memetic Algorithms, which determine favorable route plans. The recommended methods are determined using quality evaluation indicators for the techniques applied herein, subject to the limits characterizing the given company. The proposed Memetic Algorithm with Tabu Search provides much better results than the metaheuristics described in the available literature.
| Original language | English |
|---|---|
| Pages (from-to) | 6665-6680 |
| Number of pages | 16 |
| Journal | Soft Computing |
| Volume | 25 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - Apr 2021 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 12 Responsible Consumption and Production
Keywords
- E-waste mobile collection on demand
- Evolutionary algorithm
- Memetic algorithm
- Vehicle route planning
ASJC Scopus subject areas
- Theoretical Computer Science
- Software
- Geometry and Topology
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