A study of two stochastic search methods for structural control

By B. Domer, B. Raphael, Kristina Shea, Ian F. C. Smith. 2003

55 citations recorded by the source corpus.

Many engineering tasks involve the search for good solutions among many possibilities. In most cases, tasks are too complex to be modeled completely and their solution spaces often contain local minima. Therefore, classical optimization techniques cannot, in general, be applied effectively. This paper studies two stochastic search methods, one well-established (simulated annealing) and one recently developed (probabilistic global search Lausanne), applied to structural shape control. Search results are applied to control the quasistatic displacement of a tensegrity structure with multiple objectives and interdependent actuator effects. The best method depends on the accuracy related to requirements defined by the objective function and the maximum number of evaluations that are allowed.

Subfields: Architecture, Civil and Structural Engineering

View Paper: https://www.semanticscholar.org/paper/4e320117f79d0154229d40133cc94557bcbadbed

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Hod Lipson
2. Francisco J. Valero Cuevas
3. Chandana Paul
4. Josep Maria Mirats i Tur
5. Sergi Hernandez Juan

Citations in the corpus

• Design and control of tensegrity robots for locomotion (2006, background): “have studied the use of the stochastic search techniques simulated annealing and probabilistic global search for shape control [13].”