Application of particle swarm optimisation based on immune evolutionary algorithm for optimal operation of cascade reservoirs
Application of particle swarm optimisation based on immune evolutionary algorithm for optimal operation of cascade reservoirs
复制标题
基于免疫进化算法的粒子群优化在梯级水库优化运行中的应用
DOI：
10.1504/ijmic.2009.029268
复制
发表时间：
2009-11
期刊：
影响因子：
--
通讯作者：
Chang jianxia
中科院分区：
文献类型：
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作者：
Wan Fang;Chang jianxia
在复杂梯级水库的调度中，常受到维数灾难的挑战，解容易陷入局部最优。本文提出了一种基于免疫进化算法的粒子群优化算法来解决这一问题。该算法克服了粒子群优化算法对初始种群的依赖性和易陷入局部最优的缺点。通过一个实例系统验证了该算法的可行性，并与其他算法的结果进行了比较。结果表明，这种新算法对于具有约束条件的复杂非线性系统的优化问题是可行的。
In the operation of complex cascade reservoirs, it is often challenged by the curse of dimensionality and solutions can get trapped in local optimal. This paper proposes a particle swarm optimisation based on immune evolutionary algorithm to solve the problems. This new algorithm can overcome the shortcomings with regards to the dependence on initial population and local optimisation of particle swarm optimisation algorithms. The feasibility of the proposed algorithm is demonstrated through an example system and the results are compared with that of other algorithms. The results have shown that this new algorithm is feasible for the problems of complex non-linear systems with some restraint conditions.