The Sustainable Allocation of Earth-Rock via Division and Cooperation Ant Colony Optimization Combined with the Firefly Algorithm
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| Publicado en: | Symmetry vol. 17, no. 7 (2025), p. 1029-1052 |
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MDPI AG
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| Acceso en línea: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 022 | |a 2073-8994 | ||
| 024 | 7 | |a 10.3390/sym17071029 |2 doi | |
| 035 | |a 3233253754 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231635 |2 nlm | ||
| 100 | 1 | |a Li, Linna |u Hubei Province Key Laboratory of Systems Science in Metallurgical Process, College of Science, Wuhan University of Science and Technology, Wuhan 430065, China; lilinna@wust.edu.cn | |
| 245 | 1 | |a The Sustainable Allocation of Earth-Rock via Division and Cooperation Ant Colony Optimization Combined with the Firefly Algorithm | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Optimized earth-rock allocation is key in the construction of large-scale navigation channel projects. This paper analyzes the characteristics of a large-scale navigation channel project and establishes an earth-rock allocation system in phases and categories without a transit field. Based on the physical characteristics of the earthwork and stonework used to design a differentiated transport strategy, a synergistic optimization model is built with economic and ecological benefits. As a solution, this paper proposes a sustainable earth-rock allocation optimization method that integrates the improved ant colony algorithm and firefly algorithm, and establishes a two-stage hybrid optimization framework. The application of the Pinglu Canal Project shows that ant colony optimization via division and cooperation combined with the firefly algorithm reduces the transportation cost by 0.128% compared with traditional ant colony optimization; improves the stability by 57.46% (standard deviation) and 59.09% (coefficient of variation) compared with ant colony optimization through division and cooperation; and effectively solves the problems of precocious convergence and local optimization of large-scale earth-rock allocation. It is used to successfully construct an earth-rock allocation model that takes into account the efficiency of the project and the protection of the ecological system in a dynamic environment. | |
| 653 | |a Coefficient of variation | ||
| 653 | |a Navigation | ||
| 653 | |a Construction accidents & safety | ||
| 653 | |a Sustainable development | ||
| 653 | |a Costs | ||
| 653 | |a Cooperation | ||
| 653 | |a Genetic algorithms | ||
| 653 | |a Civil engineering | ||
| 653 | |a Algorithms | ||
| 653 | |a Physical properties | ||
| 653 | |a Local optimization | ||
| 653 | |a Value engineering | ||
| 653 | |a Environmental protection | ||
| 653 | |a Ant colony optimization | ||
| 653 | |a Optimization algorithms | ||
| 653 | |a Heuristic methods | ||
| 653 | |a Efficiency | ||
| 653 | |a Optimization models | ||
| 700 | 1 | |a Lu, Junyi |u College of Science, Wuhan University of Science and Technology, Wuhan 430065, China; 2072642499@wust.edu.cn (H.G.); ygbgdan@wust.edu.cn (D.L.) | |
| 700 | 1 | |a Gao, Han |u College of Science, Wuhan University of Science and Technology, Wuhan 430065, China; 2072642499@wust.edu.cn (H.G.); ygbgdan@wust.edu.cn (D.L.) | |
| 700 | 1 | |a Li, Dan |u College of Science, Wuhan University of Science and Technology, Wuhan 430065, China; 2072642499@wust.edu.cn (H.G.); ygbgdan@wust.edu.cn (D.L.) | |
| 773 | 0 | |t Symmetry |g vol. 17, no. 7 (2025), p. 1029-1052 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3233253754/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3233253754/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3233253754/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |