摘要
本文提出了一种将模拟退火算法和遗传算法相结合的混合遗传算法,并将其引入输气管压气站优化运行问题中。结合实例,对不同算法进行了分析比较,结果表明由该算法获得的解比其它算法更优,且具有较好的优化性能、较高的优化效率和较强的鲁棒性。
The paper presents a hybrid genetic algorithm which marries simulated annealing with genetic algorithms, and applies it to compressor station＇ s optimal operation of gas transmission line. Then according to an example, the paper analyses and compares several different algorithms. The example shows that the power cost that the hybrid genetic algorithm acquired is better than that the other algorithm acquired, and the hybrid genetic algorithm possesses better optimum capability, upper optimum efficiency and stronger optimum robustness.
出处
《微计算机信息》
北大核心
2006年第08X期121-123,共3页
Control & Automation
基金
中石油西南油气田分公司项目(SCKH4-BD05315)
关键词
输气管
压气站
优化运行
混合遗传算法
Gas Transmission Line, Compressor Station, Optimal Operation, Hybrid Genetic Algorithm
