Shrinking neighborhood evolution : a novel stochastic algorithm for numerical optimization
Su, Dongcai, Dong, Junwei, & Zheng, Zuduo (2009) Shrinking neighborhood evolution : a novel stochastic algorithm for numerical optimization. In Proceedings of The 2009 IEEE Congress on Evolutionary Computation, IEEE, Nova Conference Centre and Cinema, Trondheim, pp. 3300-3305.
Focusing on the conditions that an optimization problem may comply with, the so-called convergence conditions have been proposed and sequentially a stochastic optimization algorithm named as DSZ algorithm is presented in order to deal with both unconstrained and constrained optimizations. The principle is discussed in the theoretical model of DSZ algorithm, from which we present the practical model of DSZ algorithm. Practical model efficiency is demonstrated by the comparison with the similar algorithms such as Enhanced simulated annealing (ESA), Monte Carlo simulated annealing (MCS), Sniffer Global Optimization (SGO), Directed Tabu Search (DTS), and Genetic Algorithm (GA), using a set of well-known unconstrained and constrained optimization test cases. Meanwhile, further attention goes to the strategies how to optimize the high-dimensional unconstrained problem using DSZ algorithm.
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|Item Type:||Conference Paper|
|Keywords:||Global optimization, unconstrained optimization, constrained optimization|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Urban Development
|Copyright Owner:||Copyright 2009 IEEE|
|Copyright Statement:||Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Deposited On:||07 Jun 2011 22:26|
|Last Modified:||26 Aug 2011 10:31|
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