Review of optimization techniques

dc.contributor.authorVenter, G.
dc.identifier.citationVenter, G. 2010. Review of optimization techniques, In: Encyclopedia of aerospace engineering, Wiley & Sons, 2010.en_ZA
dc.identifier.otherdoi: 10.1002/9780470686652.eae495
dc.descriptionThe original publication is available at
dc.description.abstractA basic overview of optimization techniques is provided. The standard form of the general nonlinear, constrained optimization problem is presented, and various techniques for solving the resulting optimization problem are discussed. The techniques are classified as either local (typically gradient-based) or global (typically non-gradient based or evolutionary) algorithms. A great many optimization techniques exist and it is not possible to provide a complete review in the limited space available here. Instead, an effort is made to concentrate on techniques that are commonly used in engineering optimization applications. The review is kept general in nature, without considering special cases like linear programming, convex problems, multi-objective optimization, multi-disciplinary optimization, etc. The advantages and disadvantages of the different techniques are highlighted, and suggestions are made to aid the designer in selecting an appropriate technique for a specific problem at hand. Where possible, a short overview of a representative method is presented to aid the discussion of that particular class of algorithms.en_ZA
dc.format.extent12 p. : ill.
dc.publisherJohn Wiley & Sons Ltd.en_ZA
dc.subjectLocal algorithmsen_ZA
dc.subjectGradient-based algorithmsen_ZA
dc.subjectGlobal algorithmsen_ZA
dc.subjectNon-gradient based algorithmsen_ZA
dc.subjectEvolutionary algorithmsen_ZA
dc.subjectGlobal optimizationen_ZA
dc.titleReview of optimization techniquesen_ZA
dc.title.alternativeEncyclopedia of aerospace engineeringen_ZA
dc.typeChapters in Booksen_ZA
dc.rights.holderJohn Wiley & Sons Ltd.en_ZA

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