Evolutionary multiobjective optimization of steel structural systems in tall buildings

Rafal Kicinger, Shigeru Obayashi, Tomasz Arciszewski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

This paper presents results of extensive computational experiments in which evolutionary multiobjective algorithms were used to find Pareto-optimal solutions to a complex structural design problem. In particular, Strength-Pareto Evolutionary Algorithm 2 (SPEA2) was combined with a mathematical programming method to find optimal designs of steel structural systems in tall buildings with respect to two objectives (both minimized): the total weight and the maximum horizontal displacement of a tall building. SPEA2 was employed to determine Pareto-optimal topologies of structural members (topology optimization) whose cross-sections were subsequently optimized by the mathematical programming method (sizing optimization). The paper also presents the shape of the Pareto front in this two-dimensional objective space and discusses its dependence on the building's aspect ratio. The results reported provide both qualitative and quantitative knowledge regarding the relationship between the two objectives. They also show the trade-offs involved in the process of conceptual and detailed design of complex structural systems in tall buildings.

Original languageEnglish
Title of host publicationEvolutionary Multi-Criterion Optimization - 4th International Conference, EMO 2007, Proceedings
Pages604-618
Number of pages15
Publication statusPublished - 2007 Dec 24
Event4th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2007 - Matsushima, Japan
Duration: 2007 Mar 52007 Mar 8

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4403 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2007
CountryJapan
CityMatsushima
Period07/3/507/3/8

Keywords

  • Evolutionary multiobjective optimization
  • Pareto front
  • Structural design
  • Tall buildings

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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