Šmilauer, Vít

OPTIMIZATION OF A VIBRATING BLOCK FOUNDATION

Abstract cze:
Abstrakt: The procedure based on a traditional genetic algorithm (GA) is demonstrated on the price optimization of a vibrating block foundation. Unbalanced rotating mass in a machine produces harmonic dynamic load that is reduced by a set of dashpots supporting a foundation block with a machine. Six parameters have to be optimized: 3 dimensions of the block, number of rows for two directions of dashpots and the type of a dashpot in a database. Restrictions on a maximal displacement and on dashpot configuration are introduced. Fitness function represents the price for materials plus penalty function due to unsatisfied restrictions. GA with specified additional parameters searches for a minimal value of a fitness function.

Abstract eng:
Abstract: The procedure based on a traditional genetic algorithm (GA) is demonstrated on the price optimization of a vibrating block foundation. Unbalanced rotating mass in a machine produces harmonic dynamic load that is reduced by a set of dashpots supporting a foundation block with a machine. Six parameters have to be optimized: 3 dimensions of the block, number of rows for two directions of dashpots and the type of a dashpot in a database. Restrictions on a maximal displacement and on dashpot configuration are introduced. Fitness function represents the price for materials plus penalty function due to unsatisfied restrictions. GA with specified additional parameters searches for a minimal value of a fitness function.

Contributors:

Máca, Jiří

Publisher:

Institute of Mechanics and Solids, FME, TU Brno

Conference Title:

Engineering Mechanics 2002

Conference Title:

Engineering Mechanics 2002

Conference Venue:

Svratka (CZ)

Conference Dates:

2002-05-13 / 2002-05-16