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A novel model for sustainable waste collection arc routing problem: Pareto-based algorithms
Erfan Babaee Tirkolaee1, Alireza Goli2, Selma Gütmen3
1Department of Industrial Engineering, Istinye University, Istanbul, Turkey.
This study introduces a new model for sustainable municipal solid waste (MSW) management, optimizing costs, environmental impact, and citizen satisfaction using advanced algorithms for efficient waste collection and disposal.
Area of Science:
- Environmental Engineering
- Operations Research
- Computer Science
Background:
- Municipal solid waste (MSW) management is a complex, costly process with significant environmental and social implications.
- Key challenges include minimizing operational costs, reducing greenhouse gas (GHG) emissions, and enhancing citizen satisfaction.
- Existing models often struggle to balance these competing objectives effectively.
Purpose of the Study:
- To develop a novel mixed-integer linear programming (MILP) model for the sustainable periodic capacitated arc routing problem (PCARP) in MSW management.
- To simultaneously optimize multiple objectives: minimizing total cost, minimizing environmental emissions, maximizing citizen satisfaction, and minimizing workload deviation.
- To propose an efficient hybrid multi-objective optimization algorithm for solving the formulated problem.
Main Methods:
- Formulation of a sustainable periodic capacitated arc routing problem (PCARP) using mixed-integer linear programming (MILP).
- Development of a hybrid multi-objective optimization algorithm (MOSA-MOIWOA), combining simulated annealing (MOSA) and invasive weed optimization (MOIWOA).
- Application of the Taguchi design technique for optimal parameter tuning of the algorithm.
Main Results:
- The proposed MILP model effectively formulates the sustainable MSW management problem with multiple objectives.
- The hybrid MOSA-MOIWOA algorithm demonstrates high efficiency in solving complex instances of the PCARP.
- Validation using literature problem instances confirms the effectiveness and efficiency of the developed methodology.
Conclusions:
- The integrated approach provides a robust framework for sustainable municipal solid waste management.
- The novel optimization model and algorithm offer significant improvements in balancing economic, environmental, and social factors.
- This research contributes a valuable tool for municipalities seeking to enhance their waste management strategies.
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