Advances in Civil Engineering

Multiobjective Optimization Techniques in Civil Engineering Problems


Publishing date
01 Jan 2020
Status
Closed
Submission deadline
13 Sep 2019

Lead Editor

1Karadeniz Technical University, Trabzon, Turkey

2Uludağ University, Bursa, Turkey

3Shiraz University, Shiraz, Iran

4Czestochowa University of Technology, Czestochowa, Poland

5Universidade de Passo Fundo, Passo Fundo, Brazil

This issue is now closed for submissions.
More articles will be published in the near future.

Multiobjective Optimization Techniques in Civil Engineering Problems

This issue is now closed for submissions.
More articles will be published in the near future.

Description

An optimization problem which has more than one objective is defined as multiobjective optimization problem. For example, the first five fundamental frequencies of a structure must be maximized when the total weight or volume of a structure must be minimized. However, both the time and cost for construction projects must be at a minimum at the same time. In addition, a construction project may have three objective functions such as time, cost, and quality. In order to solve such a type of problem, multiobjective optimization (MOO) techniques are preferred to find nondominated solutions or Pareto-optimal solutions.

The first implementation of evolutionary algorithms in MOO was in the 1980s, and since then many studies have been carried out applying different MOO techniques to civil engineering problems, for example, project managers trying to minimize project time, cost, and carbon dioxide emissions as well as maximizing the quality of project and its plan robustness at the same time. The MOO of reinforced concrete (RC) retaining walls, including total cost and embedded CO2 emissions, is studied in the geotechnical department of civil engineering. The economic cost, constructability, environmental impact, and the overall safety of RC framed structures are used for the MOO of the structural design.

This special issue aims to focus on the implementation of evolutionary algorithms in the MOO of civil engineering problems and the application of these. Both original research and review articles are welcomed.

Potential topics include but are not limited to the following:

  • MOO algorithms and techniques used in civil engineering problems
  • Decision-making problems in MOO for civil engineering problems
  • MOO of construction schedules
  • Nondominated solutions for the MOO
  • Pareto-optimal solutions for MOO in civil engineering structures
  • Hybrid algorithms for MOO
  • Comparative studies of MOO used in civil engineering problems
  • Development of metaheuristic algorithms for MOO for civil engineering
  • Evolutionary MOO methods applied to real-world problems in civil engineering

Articles

  • Special Issue
  • - Volume 2020
  • - Article ID 8201734
  • - Corrigendum

Corrigendum to “Prediction of Concrete Compressive Strength and Slump by Machine Learning Methods”

M. Timur Cihan
  • Special Issue
  • - Volume 2020
  • - Article ID 2787351
  • - Research Article

Development of a Nonlinear Integer Optimization Model for Tenant Mix Layout in a Shopping Centre

Hongyue Lv | Ting-Kwei Wang
  • Special Issue
  • - Volume 2019
  • - Article ID 3069046
  • - Research Article

Prediction of Concrete Compressive Strength and Slump by Machine Learning Methods

M. Timur Cihan
  • Special Issue
  • - Volume 2019
  • - Article ID 7852301
  • - Research Article

Fuzzy Multicriteria Decision-Making Model for Time-Cost-Risk Trade-Off Optimization in Construction Projects

M. Ammar Alzarrad | Gary P. Moynihan | ... | Siyuan Song
  • Special Issue
  • - Volume 2019
  • - Article ID 1638618
  • - Research Article

A Multiobjective Bilevel Programming Model for Environmentally Friendly Traffic Signal Timings

Ozgur Baskan
  • Special Issue
  • - Volume 2019
  • - Article ID 8438639
  • - Research Article

Multiobjective Optimization Design for Structural Parameters of TBM Disc Cutter Rings Based on FAHP and SAMPGA

Laikuang Lin | Yimin Xia | Dun Wu
  • Special Issue
  • - Volume 2019
  • - Article ID 5153082
  • - Research Article

Multiobjective Construction Optimization Model Based on Quantum Genetic Algorithm

Wei He | Yichao Shi
Advances in Civil Engineering
 Journal metrics
Acceptance rate41%
Submission to final decision98 days
Acceptance to publication40 days
CiteScore1.700
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Impact Factor1.924
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Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.