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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 20
Edited by: B.H.V. Topping and M. Papadrakakis
Paper VII.1

A Parallel Evolution Strategy for Solving Discrete Structural Opimization

J. Cai and G. Thierauf

Baumechanik-Baustatik, Fachbereich Bauwesen, Universitat GH Essen, Essen, Germany

Full Bibliographic Reference for this paper
J. Cai, G. Thierauf, "A Parallel Evolution Strategy for Solving Discrete Structural Opimization", in B.H.V. Topping, M. Papadrakakis, (Editors), "Advances in Parallel and Vector Processing for Structural Mechanics", Civil-Comp Press, Edinburgh, UK, pp 239-244, 1994. doi:10.4203/ccp.20.7.1
A method to solve optimization problems with discrete variables by using modified Evolution strategies (ESs) is presented. ESs imitate biological evolution and combine the concept of artificial survival of the fittest with evolutionary operators to form a robust search mechanism.

An important characteristic of ESs that differs from other conventional optimization algorithms is that in place of a single design point the ESs work simultaneously with a population of design points in the space of variables. This allows for an implementation in a parallel computing environment. In this paper the modified ESs for solving discrete optimization problems and its parallelization are described.

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