Title :
An estimation method of optimal feature factor based on the balance of exploration and exploitation
Author :
Kun Li ; Ming Li ; Hao Chen
Author_Institution :
Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Abstract :
Under the background of the balance of exploration and exploitation, this paper analyzes the causes of the optimization hardness by using the concepts of effective ratio of exploration and exploitation. Then, a novel method is proposed to estimate the optimal feature factor, which is the essential part of optimal contraction theorem. At last, the method is tested with eight test functions. Some disadvantages of optimal feature factors are found by analysis the test results.
Keywords :
computational complexity; estimation theory; optimisation; estimation method; exploitation balance; exploration balance; optimal contraction theorem; optimal feature factor; optimization hardness; test function; Correlation; Educational institutions; Erbium; Estimation; Extraterrestrial measurements; Floors; Optimization; Evolutionary Computation; GA; Optimal Contraction Theorem; Optimization Hardness; PSO;
Conference_Titel :
Information and Automation (ICIA), 2013 IEEE International Conference on
Conference_Location :
Yinchuan
DOI :
10.1109/ICInfA.2013.6720318