Technical note Reservoir operation optimization using adaptive varying chromosome length genetic algorithm

Banafsheh Zahraie; Reza Kerachian; Bahram Malekmohammadi

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Technical note Reservoir operation optimization using adaptive varying chromosome length genetic algorithm

机译：技术说明使用自适应可变染色体长度遗传算法的水库调度优化

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Two adaptive extensions of the varying chromosome length genetic algorithm (VLGA) model are proposed for optimal reservoir operation. The initial solutions for each year of the planning horizon are selected among the optimal solutions for the previous years based on the similarity in hydrologic characteristics of the years in terms of reservoir storage at the beginning of water years and annual reservoir inflows. The results from three case studies in Iran show an improvement in the convergence speed of VLGA between 21-47%. In an extended time horizon problem, the models improve the best fitness values with significantly less computation.

机译：提出了两种可变长度基因遗传算法（VLGA）模型的自适应扩展，以实现最佳水库调度。根据年份的水文特征在水年开始时的水库存储量和每年的水库入库量方面的相似性，从前几年的最佳方案中选择规划期的每一年的初始方案。来自伊朗的三个案例研究的结果表明，VLGA的收敛速度提高了21-47％。在延长的时间范围问题中，这些模型可以通过更少的计算来提高最佳适应度值。

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来源
《Water International》 |2008年第3期|380-391|共12页
作者
Banafsheh Zahraie; Reza Kerachian; Bahram Malekmohammadi;
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作者单位

Center of Excellence for Infrastructure Engineering and Management, School of Civil Engineering, University of Tehran, Tehran, Iran;

Center of Excellence for Infrastructure Engineering and Management, School of Civil Engineering, University of Tehran, Tehran, Iran;

School of Civil Engineering, University of Tehran, Tehran, Iran;

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正文语种 eng
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reservoir operation optimization; adaptive varying chromosome length genetic algorithm;

机译：水库调度优化;自适应变染色体长度遗传算法;

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1. Use of parallel deterministic dynamic programming and hierarchical adaptive genetic algorithm for reservoir operation optimization [J] . Zhongbo Zhang, Shuanghu Zhang, Yuhui Wang, Computers & Industrial Engineering . 2013,第2期

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2. Adaptive Genetic Algorithm for Daily Optimal Operation of Cascade Reservoirs and its Improvement Strategy [J] . Kan Yang, Jiao Zheng, Min Yang, Water Resources Management . 2013,第12期

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3. An adaptive particle swarm optimization algorithm for reservoir operation optimization [J] . Zhongbo Zhang, Yunzhong Jiang, Shuanghu Zhang, Applied Soft Computing . 2014,第Null期

机译：自适应粒子群算法在水库调度优化中的应用
4. A Cascaded Genetic Algorithm with Adaptive Length of the Chromosome for Blind System Order and Parameters Identification [C] . Tin Lun Lam IEEE/SICE International Symposium on System Integration . 2021

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6. Enhanced genetic algorithm optimization model for a single reservoir operation based on hydropower generation: case study of Mosul reservoir northern Iraq [O] . Yousif H. Al-Aqeeli, T. S. Lee, S. Abd Aziz -1

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Technical note Reservoir operation optimization using adaptive varying chromosome length genetic algorithm

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