Optimization Algorithms Testing and Convergence by Using a Stacked Histogram

Advances in Electrical and Computer Engineering

ZAPLATILEK, K. ; TALPA, M. ; LEUCHTER, J..

关键词: MATLAB;    convergence;    optimization;    stacked histogram;    stochastic system;   

DOI  :  10.4316/AECE.2011.01002

学科分类：计算机科学（综合）

来源: Universitatea "Stefan cel Mare" din Suceava

【 摘 要 】

The article describes an original method of optimization algorithms testing and convergence. The method is based on so-called stacked histogram. Stacked histogram is a histogram with its features marked by a chosen colour scheme. Thus, the histogram maintains the information on the input digital sequence. This approach enables an easy identification of the hidden defects in the random process statistical distribution. The stacked histogram is used for the testing of the convergent quality of various optimization techniques. Its width, position and colour scheme provides enough information on the chosen algorithm optimization trajectory. Both the classic iteration techniques and the stochastic optimization algorithm with the adaptation were used as examples.

【 授权许可】

Unknown