Simulation Study of Improving Mutative Scale Chaos Optimization Algorithm in Complex Nonlinear System

DOI

10.2991/icmmita-15.2015.335How to use a DOI?

Keywords

Improving; Mutative scale; Chaos optimization; Complex nonlinear system.

Abstract

This paper addresses a reliability optimization problem, where the motive is to select the best optimization method for complex nonlinear system. In order to avoid blind and repeated searching of chaos optimization in searching space of complex nonlinear system, an improving mutative scale chaos optimization algorithm has been proposed to solve the problems. The algorithm counts better value for every searching and sets a sign A in the chaos searching, when the numbers of better value searched is equal to A, the searching space is dynamic reduced according scale, and the above course is repeated in the lesser scale till global optimal value is found. In order to check the reliability of the proposed solution methodology, five complex nonlinear functions have been simulated, the simulation results show that algorithm is simple and local searching ability is better, the efficiency is higher than that of mutative scale chaos optimization, and results demonstrate the benefits of the proposed algorithm for solving this type of problem.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - En Zou
AU  - Qing Huo
AU  - Shuihong Huang
AU  - Shengchuang Chen
PY  - 2015/11
DA  - 2015/11
TI  - Simulation Study of Improving Mutative Scale Chaos Optimization Algorithm in Complex Nonlinear System
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 1795
EP  - 1800
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.335
DO  - 10.2991/icmmita-15.2015.335
ID  - Zou2015/11
ER  -