Sustainable smart waste classification and collection system: A bi-objective modeling and optimization approach
In the context of the “smart city”, information and communication technologies (ICT) have become indispensable in the planning and design of modern municipal solid waste management. Due to more waste varieties, there are urgent calls to implement waste classification worldwide, which promotes resour...
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| Published in: | Journal of cleaner production Vol. 276; p. 124183 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Ltd
10.12.2020
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| ISSN: | 0959-6526, 1879-1786 |
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| Abstract | In the context of the “smart city”, information and communication technologies (ICT) have become indispensable in the planning and design of modern municipal solid waste management. Due to more waste varieties, there are urgent calls to implement waste classification worldwide, which promotes resource recycling to achieve sustainable development. In this paper, we present an ICT-based smart waste classification and collection system (SWCCS) that is abstracted as a bi-objective mathematical programming model to optimize the waste collection problem. To implement the proposed SWCCS effectively, we design a novel multi-objective hybrid algorithm based on the whale optimization and genetic algorithms (MOGWOA) with an improved convergence factor and a fast, non-dominated sorting method. A comparison of our algorithm with two classical multi-objective algorithms on generated test instances and on a real-world case shows that the proposed MOGWOA is more effective for optimizing the established model. This paper demonstrates how the ICT-based SWCCS works and how it can help sanitation companies improve waste collection both economically and environmentally.
•A sustainable smart waste classification and collection system is investigated.•A dual-objective mathematical model is developed to minimize cost and workload.•A hybrid multi-objective whale optimization algorithm is presented.•Effectiveness of the model and algorithm proposed in this paper is proved. |
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| AbstractList | In the context of the “smart city”, information and communication technologies (ICT) have become indispensable in the planning and design of modern municipal solid waste management. Due to more waste varieties, there are urgent calls to implement waste classification worldwide, which promotes resource recycling to achieve sustainable development. In this paper, we present an ICT-based smart waste classification and collection system (SWCCS) that is abstracted as a bi-objective mathematical programming model to optimize the waste collection problem. To implement the proposed SWCCS effectively, we design a novel multi-objective hybrid algorithm based on the whale optimization and genetic algorithms (MOGWOA) with an improved convergence factor and a fast, non-dominated sorting method. A comparison of our algorithm with two classical multi-objective algorithms on generated test instances and on a real-world case shows that the proposed MOGWOA is more effective for optimizing the established model. This paper demonstrates how the ICT-based SWCCS works and how it can help sanitation companies improve waste collection both economically and environmentally. In the context of the “smart city”, information and communication technologies (ICT) have become indispensable in the planning and design of modern municipal solid waste management. Due to more waste varieties, there are urgent calls to implement waste classification worldwide, which promotes resource recycling to achieve sustainable development. In this paper, we present an ICT-based smart waste classification and collection system (SWCCS) that is abstracted as a bi-objective mathematical programming model to optimize the waste collection problem. To implement the proposed SWCCS effectively, we design a novel multi-objective hybrid algorithm based on the whale optimization and genetic algorithms (MOGWOA) with an improved convergence factor and a fast, non-dominated sorting method. A comparison of our algorithm with two classical multi-objective algorithms on generated test instances and on a real-world case shows that the proposed MOGWOA is more effective for optimizing the established model. This paper demonstrates how the ICT-based SWCCS works and how it can help sanitation companies improve waste collection both economically and environmentally. •A sustainable smart waste classification and collection system is investigated.•A dual-objective mathematical model is developed to minimize cost and workload.•A hybrid multi-objective whale optimization algorithm is presented.•Effectiveness of the model and algorithm proposed in this paper is proved. |
| ArticleNumber | 124183 |
| Author | Pu, Xujin Han, Xiaohua Lu, Xulong |
| Author_xml | – sequence: 1 givenname: Xulong surname: Lu fullname: Lu, Xulong organization: School of Business, Jiangnan University, Wuxi, 214122, Jiangsu Province, China – sequence: 2 givenname: Xujin surname: Pu fullname: Pu, Xujin organization: School of Business, Jiangnan University, Wuxi, 214122, Jiangsu Province, China – sequence: 3 givenname: Xiaohua surname: Han fullname: Han, Xiaohua email: hxhznhxh@163.com, 201910118@oamail.gdufs.edu.cn organization: School of Business, Guangdong University of Foreign Studies, Guangzhou, 510420, Guangdong Province, China |
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| Keywords | Information and communication technologies Multi-objective hybrid whale optimization algorithm Smart waste classification and collection Sustainable development Vehicle routing problem |
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