To address the challenge of coordinating and scheduling construction vessels in large-scale water projects such as waterway regulation, this problem is modeled for the first time as a Dual-Resource Berth Allocation Problem (DR-BAP). A mathematical model is established with the objective of minimizing vessel waiting costs and resource preference mismatch costs. To solve this Non-deterministic Polynomial-time hard (NP-hard) problem, a Two-Stage Hybrid Cuckoo Search Algorithm (TSH-CSA) is proposed. In the first stage, the algorithm employs dynamic priorities, a load balancing guidance strategy, and a historical congestion feedback penalty mechanism for macroscopic resource allocation. It integrates domain knowledge and feedback information to optimize fitness evaluation. In the second stage, the algorithm integrates an adaptive dual-population mechanism and an intelligent restart mechanism to achieve a microscopic, refined solution. Overall, the algorithm establishes a global iterative framework of "allocation-scheduling-feedback" to enhance its global optimization capability. Simulation experiments based on a waterway regulation project show that, compared with the standard Cuckoo Search Algorithm, TSH-CSA exhibits significant improvements in solution quality, convergence speed, and robustness. These results verify the effectiveness and advancement of the proposed model and algorithm in solving complex engineering scheduling problems.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |