Life-Cycle Cost Optimization of Structures

Introduction.

1.1 The Case for Cost Optimization.

1.2 Cost Optimization of Concrete Structures.

1.3 Cost Optimization of Steel Structures.

2 Evolutionary Computingand Genetic Algorithm.

2.1 Overview and Basic Operations.

2.2 Coding and Decoding.

2.3 Basic Operations in Genetic Algorithm.

2.4 GA with Penalty Function Method.

2.5 Augmented Lagrangian Method.

2.6 GA with Augmented Lagrangian Method.

3 Cost Optimization of Composite Floors.

3.1 Introduction.

3.2 Minimum Cost Design of Composite Beams.

3.3 Solution by Floating-Point Genetic Algorithm.

3.4 Solution by Neural Dynamics Method.

3.5 Counter Propagation Neural (CPN) Network.

For Function Approximation.

3.6Examples.

4 Fuzzy Genetic Algorithm for Optimization of Steel Structures.

4.1 Introduction.

4.2 Fuzzy Set Theory and Structural Optimization.

4.3 Minimum Weight Design of Axially Loaded Space Structures.

4.4 Fuzzy Membership Functions.

4.5 Fuzzy Augmented Lagrangian Genetic Algorithm.

4.6 Implementation and Examples.

4.7 Conclusion.

5 Fuzzy Discrete Multicriteria Cost Optimization of Steel Structures.

5.1 Cost of a Steel Structure.

5.2 Cost of a Steel Structure and the Primary Contributing Factors.

5.3 Fuzzy Discrete Multicriteria Cost Optimization.

5.4 Membership Functions.

5.5 Fuzzy Membership Functions for Criteria with Unequal Importance.

5.6 Pareto Optimality.

5.7 Selection of Commercially Available Discrete Shapes.

5.8 Implementation and Parametric Study.

5.9 Application to Highrise Steel Structures.

5.10 Concluding Comments.

6 Parallel Computing.

6.1 Multiprocessor Computing Environment.

6.2 Parallel Processing Implementation Environment.

6.3 Performance Optimization of Parallel Programs.

7 Parallel Fuzzy Genetic Algorithm for Cost Optimization of Large Steel Structures.

7.1 Genetic Algorithm and Parallel Processing.

7.2 Cost Optimization of Moment-Resisting Steel Space

Hojjat Adeli is Professor of Civil and Environmental Engineering and Geodetic Science and Lichtenstein Professor in Infrastructure Engineering at The Ohio State University. A contributor to 70 different scholarly journals, he has authored over 400 research and scientific publications in diverse areas of engineering, computer science, and applied mathematics since he received his PhD from Stanford University in 1976 at the age of 26. He has authored/co-authored eleven pioneering books such as Machine Learning - Neural Networks , Genetic Algorithms, and Fuzzy Systems , John Wiley & Sons, Ltd, 1995; Neurocomputing for Design Automation , CRC Press, 1998; Distributed Computer-Aided Engineering , CRC Press, 1999; High-Performance Computing in Structural Engineering , CRC Press, 1999; Control, Optimization, and Smart Structures - High-Performance Bridges and Buildings of the Future , John Wiley & Sons, Ltd, 1999; Construction Scheduling, Cost Optimization, and Management - A New Model Based on Neurocomputing and Object Technologies , Spon Press, 2001; and Wavelets in Intelligent Transportation Systems , John Wiley & Sons, Ltd, 2005. He has also edited 12 books including Intelligent Information Systems , IEEE Computer Society, 1997. He is the Editor-in-Chief of two research journals, Computer-Aided Civil and Infrastructure Engineering , which he founded in 1986, and Integrated Computer-Aided Engineering , which he founded in 1993. He has been a Keynote/Plenary Lecturer at 56 international conferences held in 33 different countries and has served on the advisory/editorial/organizing board of 262 national and international conferences held in 55 different countries. On September 29, 1998, he was awarded a patent for a 'Method and apparatus for efficient design automation and optimization, and structures produced thereby' (United States Patent Number (5,815,394) (with a former PhD student). He is the recipient of numerous academic, research, and leadership awards,