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蜜蜂进化算法在水电站厂内经济运行中的应用 被引量:5

Application of Honey-bee Evolutionary Algorithm for Optimal Operation of Hydropower Units
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摘要 以发电耗流量最小建立经济运行数学模型,通过模拟蜜蜂交配过程中的婚飞行为,提出了一种蜜蜂进化算法(HBEA),在杂交过程中引入了外来雄蜂提高子代多样性,又引入工蜂对子代喂以蜂王浆提高群体适应度。通过Schwefel’s函数仿真测试证明了HBEA的可行性。以乌江渡水电站经济运行为例,结果表明该算法解决水电站经济运行问题行之有效。 The paper presents an economical mathematical model with minimum discharge of power generation and a new evolutionary algorithm called Honey-Bee Evolutionary Algorithm (HBEA) by modelling the marriage-flying during honey-bees mating process. The proposed algorithm on the one hand introduces few foreign drones into the cross operation to increase the diversity of filial generation,on the other hand the offspring are fed royal jelly from worker bees (a heuristic function) to improve their own fitness. Finally,the HBEA is tested by Schwefel's function to demonstrate its feasibility,at the same time it is successfully applied to the optimal operation of Wujiangdu Hydropower Plant,and results ob- tained demonstrate that HBEA provides promising and effective solutions to optimal operation of hydropower units.
出处 《水电能源科学》 2008年第3期137-140,共4页 Water Resources and Power
基金 国家自然科学基金资助项目(50679011) 高校博士点基金资助项目(20050141008)
关键词 厂内经济运行 蜜蜂进化算法 动态规划 水电站 optimal operation of hydropower units honey-bee evolutionary algorithm (HBEA) dynamic programming (DP) hydropower plant
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