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Particle swarm optimization of economic dispatch problem: A brief review transfer

机译：经济调度问题的粒子群优化：简要综述

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Electrical energy production has changed various features of the energy manufacturing. According to this map, lack of energy supplies, improving energy cost, environment matter, require optimal economic dispatch. Economic load dispatch (ED) problem is essentially nonlinear. Since we know that the traditional methods donot have the ability to solve problems like this for reasons such as caught up in the trap of local optimal point or low convergence speed. Therefore, the use of algorithms that are more powerful is inevitable. An efficient algorithm for solving ED problem is particle swarm optimization considering to its fast convergence to global optima and computationally efficiency. PSO based algorithms has achieved a pluperfect identification of the best solution for such kind of EDPs in last decade. In this paper, we try various techniques associated with PSO, fully checked.
机译：电能生产改变了能源生产的各种特征。根据此图，缺乏能源供应，提高能源成本，环境问题需要最佳的经济调度。经济负荷分配（ED）问题本质上是非线性的。由于我们知道传统方法由于诸如陷入局部最优点陷阱或收敛速度低等原因而无法解决此类问题。因此，不可避免地要使用功能更强大的算法。一种有效的解决ED问题的算法是粒子群算法，考虑到它快速收敛到全局最优和计算效率。在过去的十年中，基于PSO的算法已实现了对此类EDP最佳解决方案的全面识别。在本文中，我们尝试了与PSO相关的各种技术，并对其进行了全面检查。

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