The application of intelligent optimization algorithms in reducing energy consumption in slipform construction
1School of Civil Engineering, Taiyuan University of TechnologyTaiyuan, Shanxi, China.
Plos One
|November 14, 2025
Summary
A new Hybrid PSO-Whale Optimization (HPWO) algorithm optimizes slipform construction energy use. This novel approach reduces energy consumption by 18.5%, enhancing construction efficiency.
Area of Science:
- Construction Engineering
- Optimization Algorithms
- Energy Management
Background:
- Slipform construction presents significant energy consumption challenges.
- Optimizing energy usage is crucial for improving construction efficiency and sustainability.
- Existing methods lack comprehensive approaches to manage energy in complex slipform systems.
Purpose of the Study:
- To introduce a novel Hybrid PSO-Whale Optimization (HPWO) algorithm for optimizing energy consumption in slipform construction.
- To develop a multi-objective optimization model addressing hydraulic, climbing, and vibration systems.
- To evaluate the effectiveness of the HPWO algorithm in reducing energy usage.
Main Methods:
- Development of the Hybrid PSO-Whale Optimization (HPWO) algorithm, integrating Particle Swarm Optimization (PSO) and Whale Optimization Algorithm (WOA).
- Formulation of a comprehensive multi-objective optimization model for slipform construction systems.
- Experimental validation of the HPWO algorithm's performance against traditional methods.
Main Results:
- The HPWO algorithm demonstrated a significant reduction in energy consumption, averaging 18.5%.
- The algorithm effectively managed energy across hydraulic, climbing, and vibration systems through dynamic adjustments.
- HPWO outperformed traditional optimization techniques in energy efficiency.
Conclusions:
- The HPWO algorithm offers a practical and effective solution for optimizing energy consumption in slipform construction.
- This hybrid approach enhances energy management by combining global exploration and local exploitation.
- The study provides a valuable tool for improving the efficiency and sustainability of construction operations.
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