The Multi-Objective Optimization under Random Loads

Abstract:

Structure optimization seeks to achieve the best performance for a structure while satisfying various constrains such as a given probability. In the traditional mathematical model of structure optimization, the goal and the restraint functions are given without considering the randomness of the structural system. In this paper, the random loads and strength are described by probability method, the structure reliability is considered as objective function. Using the genetic algorithm, the mega-sub controlled structural systems is multi-objective optimization designed based on the structure reliability under random excitation, combined with the probability density evolution method for evaluation of extreme value distribution. A low-cost and high-performance structure is getting.

• Periodical: Applied Mechanics and Materials (Volumes 166-169)
• Pages: 548-552
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.166-169.548
• Online since: May 2012
• Authors: Xian Jie Wang, Xun An Zhang, Yeda Lian
• Keywords: Extreme Value Distribution, Genetic Algorithm (GA), Mega-Sub Controlled Structural Systems, Multi-Objective Optimization (MOP), Random Loads

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