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Performance-Based Multi-objective Optimization of Large Steel Structures

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Metaheuristic Optimization Algorithms in Civil Engineering: New Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 900))

Abstract

In recent years, the importance of economic considerations in the field of structures has motivated many researchers to propose new methods for minimizing the initial and life cycle cost of the structures subjected to seismic loading. In this chapter, a new framework is presented to solve the performance based multi-objective optimization problem considering the initial and life cycle cost of large-scale structures. In order to solve this problem, the non-dominated sorting genetic algorithm (NSGA-II) using differential evolution (DE) operators is employed to solve the optimization problem while a specific meta-model is utilized for reducing the number of fitness function evaluations.

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Authors and Affiliations

  1. Department of Civil Engineering, School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran

    Ali Kaveh & Armin Dadras Eslamlou

Authors
  1. Ali Kaveh
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  2. Armin Dadras Eslamlou
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Correspondence to Ali Kaveh .

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Kaveh, A., Dadras Eslamlou, A. (2020). Performance-Based Multi-objective Optimization of Large Steel Structures. In: Metaheuristic Optimization Algorithms in Civil Engineering: New Applications. Studies in Computational Intelligence, vol 900. Springer, Cham. https://doi.org/10.1007/978-3-030-45473-9_8

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