• • The GA-based optimization converged rapidly, achieving 93.46% of the final solution within 20 generations, which translates to a computational efficiency critical for iterative design cycles in offshore engineering projects where time-to-deployment is a key cost driver.
• • Pile foundation mass was reduced by 22.35% (236.40 t) compared to the initial design, directly yielding cost savings exceeding one million RMB per turbine—a substantial margin that improves project viability in water depths of 50–100 m where jacket weight scales exponentially with depth.
• • The optimized design achieved material efficiency by shortening pile length, reducing wall thickness, and increasing pile diameter, maintaining bearing capacity and deformation control within acceptable limits, demonstrating that geometric reconfiguration can outperform simple material reduction.
• • Benchmarking against similar offshore wind projects confirmed the optimized design's competitiveness, with the GA framework proving adaptable to varying metocean and geotechnical conditions, thereby reducing design redundancy that typically plagues conventional jacket foundation engineering.