蚁群算法在天然气输送管道优化设计中的应用

针对天然气输送管道优化模型中设计变量多，约束条件复杂的特点，以管道建设投资、压气站投资和运行费用最小为原则，运用蚁群算法和MATLAB语言编制了天然气输送管道数学模型的优化仿真程序，并对管道的选型、设计压力、压气站个数、压缩比及站间距离进行了优化设计。优化仿真结果表明，在满足管道强度约束、稳定性约束、能量平衡约束及边界约束的前提下，达到了费用最小，且优化效果好于遗传算法。从而证明了蚁群算法应用于天然气输送管道的优化设计是可行的。

APPLICATION OF ANT COLONY ALGORITHMS IN OPTIMIZED DESIGN OF GAS TRANSMISSION PIPELINES 1)

Aiming at the characteristics of many design variables and complicated constraining conditions in the optimized model of gas transmission pipelines, taking it as the principle to minimize the investment of pipeline construction, the investment of compressor stations and the operation cost, and with ant colony algorithms and MATLAB language to make the optimized emulation program of the mathematical model of gas transmission pipelines, the optimized design is made for pipeline type, design pressure, number of compressor stations, compression ratio and station space. The optimized emulation results show under the preconditions to meet the strength, stability, energy balance, and boundary restraints of the pipeline, the design makes the cost minimum and leads the better result than that from genetic algorithms. So it is proved the ant colony algorithms are feasible in the optimized design of gas transmission pipelines.