A direct stochastic algorithm for global search

Raphael, Benny; Smith, Ian F. C.

doi:10.1016/s0096-3003(02)00629-x

Cited by 149 publications

(102 citation statements)

References 23 publications

(20 reference statements)

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“…Although there is no guaranty of reaching a global optimum, near optimal solutions are usually sufficient for control applications. This optimization task was addressed using Probabilistic Global Search Lausanne (PGSL) [42]. Results obtained via PGSL are compared to the outcomes of Gradient Search Method.…”

Section: Damage Tolerance Through Active Controlmentioning

confidence: 99%

“…Therefore classical optimization techniques cannot be applied effectively. Optimally directed solutions for changes in element lengths are identified using a stochastic search algorithm called Probabilistic Global Search Lausanne (PGSL) [42] and a gradient-based search method. The PGSL technique is based on the assumption that sets of better solutions are more likely to be found in the neighborhood of sets of good solutions and, therefore, search is intensified in regions that contain sets of good values.…”

Section: Introductionmentioning

confidence: 99%

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Determining control strategies for damage tolerance of an active tensegrity structure

Korkmaz

Ali

Smith

2011

Engineering Structures

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Tensegrity structures are spatial, reticulate and lightweight systems composed of struts and cables. Stability is provided by a self-stress state between tensioned and compressed elements. Tensegrities have received interest among scientists and engineers in fields such as architecture, civil and aerospace engineering. Flexibility and ease of tuning make these systems attractive for controllable and adaptive structures. However, tensegrities are often prone to difficulties associated with meeting serviceability criteria and with providing adequate damage tolerance when used as civil engineering structures. This paper extends research on active control of tensegrity structures to study self-repair of a tensegrity pedestrian bridge that is damaged. Selfrepair is intended to meet safety and serviceability requirements in case of cable damage in the pedestrian bridge. Intelligent control methodologies that implement stochastic search with active member grouping are proposed. Case studies for several damage scenarios are presented to show the effectiveness of the methodology. Results from simulated damage scenarios show that self-repair can be successfully performed with a minimum number of active members leading to reductions in control complexity.

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Section: Damage Tolerance Through Active Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Determining control strategies for damage tolerance of an active tensegrity structure

Korkmaz

Ali

Smith

2011

Engineering Structures

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“…The principal assumption of this method is that sets of near-optimal solutions will be found near sets of good solutions [18]. The PGSL algorithm is based on a probability density function that is iteratively modified so that more exhaustive searches are made in regions of good solutions.…”

Section: Design Optimization Through Stochastic Searchmentioning

confidence: 99%

“…The first method simulates traditional design through parametric analyses, while the second uses a direct stochastic search called PGSL (Probabilistic Global Search Lausanne). PGSL is a stochastic sampling method for global optimization that has been shown to give better performance than other stochastic optimization methods for engineering tasks such as configuration, diagnosis and control [16,[18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Design of tensegrity structures using parametric analysis and stochastic search

Rhode-Barbarigos

Jain

Kripakaran

et al. 2009

Engineering with Computers

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Tensegrity structures are lightweight structures composed of cables in tension and struts in compression. Since tensegrity systems exhibit geometrically nonlinear behavior, finding optimal structural designs is difficult. This paper focuses on the use of stochastic search for the design of tensegrity systems. A pedestrian bridge made of square hollow-rope tensegrity ring modules is studied. Two design methods are compared in this paper. Both methods aim to find the minimal cost solution. The first method approximates current practice in design offices. More specifically, parametric analysis that is similar to a gradient-based optimization is used to identify good designs. Parametric studies are executed for each system parameter in order to identify its influence on response. The second method uses a stochastic search strategy called Probabilistic Global Search Lausanne (PGSL). Both methods provide feasible configurations that meet civil engineering criteria of safety and serviceability. Parametric studies also help in defining search parameters such as appropriate penalty costs to enforce constraints while optimizing using stochastic search. Traditional design methods are useful to gain an understanding of structural behavior. However, due to the many local minima in the solution space, stochastic search strategies find better solutions than parametric studies.

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“…A stochastic global search algorithm called PGSL ( [26]) is used to minimise the cost function that evaluates the difference between measurements and model predictions. Search variables are assumptions that are needed to create complete models.…”

Section: Global Searchmentioning

confidence: 99%

Data mining techniques for improving the reliability of system identification

Saitta

Raphael

Smith

2005

Advanced Engineering Informatics

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Abstract:A system identification methodology that makes use of data mining techniques to improve the reliability of identification is presented in this paper. An important aspect of the methodology is the generation of a population of candidate models. Indications of the reliability of system identification are obtained through an examination of the characteristics of the population. Data mining techniques bring out model characteristics that are important.

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A direct stochastic algorithm for global search

Cited by 149 publications

References 23 publications

Determining control strategies for damage tolerance of an active tensegrity structure

Determining control strategies for damage tolerance of an active tensegrity structure

Design of tensegrity structures using parametric analysis and stochastic search

Data mining techniques for improving the reliability of system identification

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