A New Meta-Heuristic Technique for Engineering Design Optimization: Seven-Spot Ladybird Algorithm
Peng Wang, Zhouquan Zhu, Shuai Huang · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2013
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.