If you're looking to get involved in the world of BIM, but don't quite know where to start, Building Information Modeling For Dummies is your one-stop guide to collaborative building using one coherent system of computer models rather than as separate sets of drawings. Inside, you'll find an easy-to-follow introduction to BIM and hands-on guidance for understanding drivers for change, the benefits of BIM, requirements you need to get started, and where BIM is headed.

The future of BIM is bright—it provides the industry with an increased understanding of predictability, improved efficiency, integration and coordination, less waste, and better value and quality. Additionally, the use of BIM goes beyond the planning and design phase of the project, extending throughout the building life cycle and supporting processes, including cost management, construction management, project management, and facility operation. Now heavily adopted in the U.S., Hong Kong, India, Singapore, France, Canada, and countless other countries, BIM is set to become a mandatory practice in building work in the UK, and this friendly guide gives you everything you need to make sense of it—fast.

• Demonstrates how BIM saves time and waste on site
• Shows you how the information generated from BIM leads to fewer errors on site
• Explains how BIM is based on data sets that describe objects virtually, mimicking the way they'll be handled physically in the real world
• Helps you grasp how the integration of BIM allows every stage of the life cycle to work together without data or process conflict

Written by a team of well-known experts, this friendly, hands-on guide gets you up and running with BIM fast.

Stefan Mordue is a chartered architect, construction project manager, registered CDM coordinator, and NBS technical author. Paul Swaddle is a chartered architect, BIM futurist, and NBS business solutions consultant. David Philip is head of BIM at Mace and part of the HM Government Task Group Core BIM team.

PREFACE ix

ACKNOWLEDGMENTS xiii

I PRELIMINARIES

1 A Brief Introduction to Evolutionary and other Nature-Inspired Algorithms 3
Nasimul Noman and Hitoshi Iba

2 Mathematical Models and Computational Methods for Inference of Genetic Networks 30
Tatsuya Akutsu

3 Gene Regulatory Networks: Real Data Sources and Their Analysis 49
Yuji Zhang

II EAs FOR GENE EXPRESSION DATA ANALYSIS AND GRN RECONSTRUCTION

4 Biclustering Analysis of Gene Expression Data Using Evolutionary Algorithms 69
Alan Wee-Chung Liew

5 Inference of Vohradsk´ y’s Models of Genetic Networks Using a Real-Coded Genetic Algorithm 96
Shuhei Kimura

6 GPU-Powered Evolutionary Design of Mass-Action-Based Models of Gene Regulation 118
Marco S. Nobile, Davide Cipolla, Paolo Cazzaniga and Daniela Besozzi

7 Modeling Dynamic Gene Expression in Streptomyces Coelicolor: Comparing Single and Multi-Objective Setups 151
Spencer Angus Thomas, Yaochu Jin, Emma Laing and Colin Smith

8 Reconstruction of Large-Scale Gene Regulatory Network Using S-system Model 185
Ahsan Raja Chowdhury and Madhu Chetty

III EAs FOR EVOLVING GRNs AND REACTION NETWORKS

9 Design Automation of Nucleic Acid Reaction System Simulated by Chemical Kinetics Based on Graph Rewriting Model 213
Ibuki Kawamata and Masami Hagiya

10 Using Evolutionary Algorithms to Study the Evolution of Gene Regulatory Networks Controlling Biological Development 240
Alexander Spirov and David Holloway

11 Evolving GRN-inspired In Vitro Oscillatory Systems 269
Quang Huy Dinh, Nathanael Aubert, Nasimul Noman, Hitoshi Iba and Yannic Rondelez

IV APPLICATION OF GRN WITH EAs

12 Artificial Gene Regulatory Networks for Agent Control 301
Sylvain Cussat-Blanc, Jean Disset, St´ephane Sanchez and Yves Duthen

13 Evolving H-GRNs for Morphogenetic Adaptive Pattern Formation of Swarm Robots 327
Hyondong Oh and Yaochu Jin

14 Regulatory Representations in Architectural Design 362
Daniel Richards and Martyn Amos

15 Computing with Artificial Gene Regulatory Networks 398
Michael A. Lones

INDEX 000