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Updated: Sep 3, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Research on Multi-Level Scheduling of Mine Water Reuse Based on Improved Whale Optimization Algorithm.

Lei Bo1, Zhihan Li1, Yang Liu1

  • 1School of Mechanical Electronic & Information Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.

Sensors (Basel, Switzerland)
|July 27, 2022
PubMed
Summary

This study introduces an improved whale optimization algorithm (IWOA) to enhance coal mine water reuse efficiency. The new method significantly boosts water reuse rates, optimizing scheduling for cost and time.

Keywords:
Levy flightadaptive inertia weightefficient utilization of deploymentmine water reusenonlinear convergence factoropposition-based learningreuse efficiencywhale optimization algorithm

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Area of Science:

  • Environmental Engineering
  • Artificial Intelligence
  • Optimization Algorithms

Background:

  • Coal mine water reuse faces challenges with inefficient scheduling.
  • Existing optimization algorithms like the whale optimization algorithm (WOA) can suffer from local convergence issues.
  • Effective mine water management is crucial for resource utilization and environmental sustainability.

Purpose of the Study:

  • To develop a multi-level scheduling method for efficient coal mine water reuse.
  • To improve the performance of the whale optimization algorithm (WOA) for complex scheduling problems.
  • To enhance the overall efficiency and cost-effectiveness of mine water reuse deployment.

Main Methods:

  • Established an optimal scheduling model for mine water reuse, considering time and cost.
  • Developed an improved whale optimization algorithm (IWOA) by incorporating opposition-based learning, Levy flight, a nonlinear convergence factor, and adaptive inertia weight.
  • Applied the IWOA to the multi-objective and constrained mine water optimization scheduling model.

Main Results:

  • The multi-level scheduling method using IWOA increased mine water reuse efficiency by 30.2% (heating season) and 31.9% (non-heating season).
  • The improved whale optimization algorithm demonstrated superior convergence accuracy and speed compared to the standard WOA.
  • The proposed method effectively addresses the inefficiency in coal mine water reuse.

Conclusions:

  • The improved whale optimization algorithm (IWOA) is a feasible and superior strategy for optimizing mine water reuse scheduling.
  • The multi-level scheduling method significantly enhances mine water reuse efficiency and promotes sustainable resource utilization.
  • The IWOA's enhancements effectively overcome the limitations of the standard WOA, proving its robustness.