Design of complex pipeline layout based on quantum-inspired simulated annealing algorithm

Purpose Optimizing pipeline layouts in complex three-dimensional (3D) environments remains challenging due to dense equipment, intricate structures, and high pipeline density. To address these issues, this study proposes a novel Quantum-Inspired Simulated Annealing (QISA) algorithm that integrates quantum superposition and tunneling effects into a simulated annealing framework. Design/methodology/approach The algorithm enhances global search capabilities by efficiently exploring the solution space and mitigating local optima entrapment. Comparative experiments with traditional methods—Particle Swarm Optimization (PSO) and the A* algorithm—demonstrate QISA's superiority. Findings Specifically, QISA reduces pipeline length by 9.4%, decreases the number of bends by 15.6% and lowers installation costs by 7% compared to PSO and A*. These improvements highlight QISA effectiveness in optimizing pipeline layouts while reducing project complexity in 3D environments. The proposed algorithm offers a robust tool for automated pipeline routing, advancing the field through quantum-inspired principles and practical applicability in industrial settings. Originality/value This study introduces a novel approach to automated pipeline routing by integrating quantum-inspired principles into a simulated annealing framework. The proposed QISA algorithm offers a significant advancement over traditional methods, providing a powerful tool for optimizing pipeline layouts in highly complex 3D environments.