A General Intelligent Optimization Algorithm Combination Framework with Application in Economic Load Dispatch Problems

A General Intelligent Optimization Algorithm Combination Framework with Application in Economic Load Dispatch Problems

Blog Article

Recently, a population-based intelligent optimization algorithm research has been combined with multiple algorithms or algorithm components in order to improve Tops - Bralettes the performance and robustness of an optimization algorithm.This paper introduces the idea into real world application.Different from traditional algorithm research, this paper implements this idea as a general framework.The combination of multiple algorithms or algorithm components is regarded as a complex multi-behavior population, and a unified multi-behavior combination model is Pants proposed.

A general agent-based algorithm framework is designed to support the model, and various multi-behavior combination algorithms can be customized under the framework.Then, the paper customizes a multi-behavior combination algorithm and applies the algorithm to solve the economic load dispatch problems.The algorithm has been tested with four test systems.The test results prove that the multi-behavior combination idea is meaningful which also indicates the significance of the framework.