Multi-objective Optimization of the Reinforced Concrete Beam

Zhi Yu Zhang, Zulkarnaen Gifari, Young Kyu Ju, Joong Hoon Kim

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

Abstract

This paper introduces two kinds of multi-objective optimization algorithms. The optimal values are determined through multi-objective functions and various equality and inequality constraints. The optimal value results of the two algorithms with different parameters are discussed. A simplified optimization case of reinforced concrete beam was discussed that minimizes the total cost of reinforced concrete beams while complying with all strength and serviceability requirements for a given level of the applied load. This paper focuses on the differences between Multi-objective Harmony Search Algorithm (MOHSA) and Multi-objective Genetic Algorithm (MOGA) for reinforced concrete beam design subjected to a specified set of constraints by considering aspects of the Harmony Memory Considering Rate (HMCR) parameters in HSA and Population Mutation (Pm) parameters in GA. Through HSA and GA for RC beam problem, with same reference strength, the result using GA has a lower cost than using HSA.

Original languageEnglish
Title of host publicationProceedings of 6th International Conference on Harmony Search, Soft Computing and Applications - ICHSA 2020
EditorsSinan Melih Nigdeli, Gebrail Bekdas, Joong Hoon Kim, Anupam Yadav
PublisherSpringer Science and Business Media Deutschland GmbH
Pages171-178
Number of pages8
ISBN (Print)9789811586026
DOIs
Publication statusPublished - 2021
Event6th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2020 - Istanbul, Turkey
Duration: 2020 Apr 222020 Apr 24

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1275
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference6th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2020
Country/TerritoryTurkey
CityIstanbul
Period20/4/2220/4/24

Keywords

  • Genetic algorithm
  • Harmony search algorithm
  • Multi-objective optimization
  • Reinforced concrete beam

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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