A New Meta-Heuristic Technique for Engineering Design Optimization: Seven-Spot Ladybird Algorithm

DOI

10.2991/3ca-13.2013.95How to use a DOI?

Keywords

seven-spot ladybird optimization; meta-heuristic algorithm; benchmark function; constrained mechanical design optimization

Abstract

Increasing attention is being paid to solving engineering design optimization problems which are generally nonlinear and constrained. In this paper, the Seven-spot Ladybird Optimization (SLO) algorithm is developed to obtain the solution of such optimization problems. This paper presents the basic concepts and main steps of the SLO and demonstrates its efficiency. The performance of the SLO is compared with some popular meta-heuristic algorithms by using four different dimensional classical benchmark functions. The simulation results indicate that the proposed algorithm is able to escape from a local minimum and is efficient for multimodal function optimization. Moreover, three constrained engineering problems are solved by using SLO and numerical results show the efficiency of this proposed method in practical computations.

Copyright

© 2013, 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/).

Download article (PDF)

TY  - CONF
AU  - Peng Wang
AU  - Zhouquan Zhu
AU  - Shuai Huang
PY  - 2013/04
DA  - 2013/04
TI  - A New Meta-Heuristic Technique for Engineering Design Optimization: Seven-Spot Ladybird Algorithm
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation
PB  - Atlantis Press
SP  - 387
EP  - 392
SN  - 1951-6851
UR  - https://doi.org/10.2991/3ca-13.2013.95
DO  - 10.2991/3ca-13.2013.95
ID  - Wang2013/04
ER  -