Composite simpson method based on differential evolution algorithm for numerical integral
- Resource Type
- Conference
- Authors
- Li, Qian; Mou, Yongqiang; Guan, Junxia; Su, Qinghua; Wu, Beiping; Wu, Haiming
- Source
- 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2016 12th International Conference on. :777-781 Aug, 2016
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Algorithm design and analysis
Approximation algorithms
Sociology
Statistics
Optimization
Evolutionary computation
Computers
differential evolution algorithm
piecewise integration method
Simpson method
- Language
For solving numerical integral problems, a composite Simpson method based on Differential Evolution algorithm (S-DE) is proposed. The proposed method can be viewed as a piecewise integration method. It firstly uses the differential evolution algorithm (DE) to find the optimal segmentation points on the integral interval of an integrand. The approximate integral value of the integrand is then calculated by a composite Simpson method. The comparative analyses of numerical experiment results show the advantages of S-DE on a class of integral problems.