Seven-Spot Ladybird Optimization: A Novel and Efficient Metaheuristic Algorithm for Numerical Optimization

Seven-Spot Ladybird Optimization: A Novel and Efficient Metaheuristic Algorithm for Numerical Optimization

This paper presents a novel biologically inspired metaheuristic algorithm called seven-spot ladybird optimization (SLO). The SLO is inspired by recent discoveries on the foraging behavior of a seven-spot ladybird. In this paper, the performance of the SLO is compared with that of the genetic algorit...

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Main Authors: Peng Wang, Zhouquan Zhu, Shuai Huang
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2013/378515
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spelling doaj-25a6fb18a7be438a820eeafb11781dde2020-11-25T01:34:05ZengHindawi LimitedThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/378515378515Seven-Spot Ladybird Optimization: A Novel and Efficient Metaheuristic Algorithm for Numerical OptimizationPeng Wang0Zhouquan Zhu1Shuai Huang2School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaThis paper presents a novel biologically inspired metaheuristic algorithm called seven-spot ladybird optimization (SLO). The SLO is inspired by recent discoveries on the foraging behavior of a seven-spot ladybird. In this paper, the performance of the SLO is compared with that of the genetic algorithm, particle swarm optimization, and artificial bee colony algorithms by using five numerical benchmark functions with multimodality. The results show that SLO has the ability to find the best solution with a comparatively small population size and is suitable for solving optimization problems with lower dimensions.http://dx.doi.org/10.1155/2013/378515
collection DOAJ
language English
format Article
sources DOAJ
author Peng Wang
Zhouquan Zhu
Shuai Huang
spellingShingle Peng Wang
Zhouquan Zhu
Shuai Huang
Seven-Spot Ladybird Optimization: A Novel and Efficient Metaheuristic Algorithm for Numerical Optimization
The Scientific World Journal
author_facet Peng Wang
Zhouquan Zhu
Shuai Huang
author_sort Peng Wang
title Seven-Spot Ladybird Optimization: A Novel and Efficient Metaheuristic Algorithm for Numerical Optimization
title_short Seven-Spot Ladybird Optimization: A Novel and Efficient Metaheuristic Algorithm for Numerical Optimization
title_full Seven-Spot Ladybird Optimization: A Novel and Efficient Metaheuristic Algorithm for Numerical Optimization
title_fullStr Seven-Spot Ladybird Optimization: A Novel and Efficient Metaheuristic Algorithm for Numerical Optimization
title_full_unstemmed Seven-Spot Ladybird Optimization: A Novel and Efficient Metaheuristic Algorithm for Numerical Optimization
title_sort seven-spot ladybird optimization: a novel and efficient metaheuristic algorithm for numerical optimization
publisher Hindawi Limited
series The Scientific World Journal
issn 1537-744X
publishDate 2013-01-01
description This paper presents a novel biologically inspired metaheuristic algorithm called seven-spot ladybird optimization (SLO). The SLO is inspired by recent discoveries on the foraging behavior of a seven-spot ladybird. In this paper, the performance of the SLO is compared with that of the genetic algorithm, particle swarm optimization, and artificial bee colony algorithms by using five numerical benchmark functions with multimodality. The results show that SLO has the ability to find the best solution with a comparatively small population size and is suitable for solving optimization problems with lower dimensions.
url http://dx.doi.org/10.1155/2013/378515
work_keys_str_mv AT pengwang sevenspotladybirdoptimizationanovelandefficientmetaheuristicalgorithmfornumericaloptimization
AT zhouquanzhu sevenspotladybirdoptimizationanovelandefficientmetaheuristicalgorithmfornumericaloptimization
AT shuaihuang sevenspotladybirdoptimizationanovelandefficientmetaheuristicalgorithmfornumericaloptimization
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