Optimal Reuse Design Scheduling of Mine Water Based on Improved Whale Algorithm

Area of Science:

• Engineering
• Optimization
• Environmental Science

Background:

• Mine water scheduling is a complex, multi-objective optimization problem.
• Traditional methods struggle with high dimensionality and computational demands, leading to 'dimensional disaster'.
• The Whale Optimization Algorithm (WOA) offers a potential solution but suffers from local optimization and slow convergence.

Purpose of the Study:

• To develop an improved Whale Optimization Algorithm (WOA) for optimal mine water scheduling.
• To address the limitations of the standard WOA, specifically local optimization and slow convergence.
• To apply and validate the enhanced algorithm for the Nalinhe No. 2 Mine.

Main Methods:

• Established a multi-target optimization mathematical model for mine water, considering reuse time and cost.
• Incorporated constraints including water supply-demand balance, water quality, reservoir quantity, and supply priority.
• Improved the WOA by adjusting parameters and introducing particle swarm inertia weight.
• Applied the improved WOA to solve the Nalinhe No. 2 Mine's water scheduling problem.

Main Results:

• The improved WOA demonstrated significantly enhanced adaptability compared to the standard WOA.
• Adaptability increased by 8.65% during the heating season and 7.69% during the non-heating season.
• Cost reduction rates reached 46.80% (heating season) and 36.92% (non-heating season).
• Iteration efficiency was substantially improved, enhancing decision-making speed.

Conclusions:

• The improved WOA effectively solves the complex mine water optimal scheduling problem.
• The enhanced algorithm offers superior performance and efficiency for practical mine water management.
• This approach is well-suited for the specific scheduling needs of Nalinhe No. 2 mine, improving operational efficiency and cost-effectiveness.