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Wolf Search Algorithm with Ephemeral Memory
Rui Tang1; Simon Fong1; Xin-She Yang2; Suash Deb3
2012-12-31
Conference NameSeventh International Conference on Digital Information Management (ICDIM 2012)
Source Publication7th International Conference on Digital Information Management, ICDIM 2012
Pages165-172
Conference Date22-24 Aug. 2012
Conference PlaceMacau, China
PublisherIEEE
Abstract

In computer science, a computational challenge exists in finding a globally optimized solution from a tremendously large search space. Heuristic optimization methods have therefore been created that can search the very large spaces of candidate solutions. These methods have been extensively studied in the past, and progressively extended in order to suit a wide range of optimization problems. Researchers recently have invented a collection of heuristic optimization methods inspired by the movements of animals and insects (e.g., Firefly, Cuckoos, Bats and Accelerated PSO) with the advantages of efficient computation and easy implementation. This paper proposes a new bio-inspired heuristic optimization algorithm called the Wolf Search Algorithm (WSA) that imitates the way wolves search for food and survive by avoiding their enemies. The contribution of the paper is twofold: 1. for verifying the efficacy of the WSA the algorithm is tested quantitatively and compared to other heuristic algorithms under a range of popular non-convex functions used as performance test problems for optimization algorithms; 2. The WSA is investigated with respective to its memory requirement. Superior results are observed in most tests. 

KeywordBio-inspired Optimization Metaheuristic Wolf Search Algorithm
DOIhttps://doi.org/10.1109/ICDIM.2012.6360147
URLView the original
Language英语
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Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Department of Computer and Information Science University of Macau Taipa, Macau SAR
2.Mathematics and Scientific Computing National Physical Laboratory Teddington, UK
3.Department of Computer Science & Engineering C. V. Raman College of Engineering Bidyanagar, India
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Rui Tang,Simon Fong,Xin-She Yang,et al. Wolf Search Algorithm with Ephemeral Memory[C]:IEEE,2012:165-172.
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