Tabla de Contenidos:
  • I: Preliminaries
  • A Brief Introduction to Evolutionary and other Nature-Inspired Algorithms / Nasimul Noman and Hitoshi Iba
  • Mathematical Models and Computational Methods for Inference of Genetic Networks / Tatsuya Akutsu
  • Gene Regulatory Networks: Real Data Sources and Their Analysis / Yuji Zhang
  • II: EAs for Gene Expression Data Analysis and GRN Reconstruction
  • Biclustering Analysis of Gene Expression Data Using Evolutionary Algorithms / Alan Wee-Chung Liew
  • Inference of Vohradský's Models of Genetic Networks Using a Real-Coded Genetic Algorithm / Shuhei Kimura
  • GPU-Powered Evolutionary Design of Mass-Action-Based Models of Gene Regulation / Marco S. Nobile, Davide Cipolla, Paolo Cazzaniga and Daniela Besozzi
  • Modelling Dynamic Gene Expression in Streptomyces Coelicolor: Comparing Single and Multi-Objective Setups / Spencer Angus Thomas, Yaochu Jin, Emma Laing and Colin Smith
  • Reconstruction of Large-Scale Gene Regulatory Network Using S-system Model / Ahsan Raja Chowdhury and Madhu Chetty
  • III: EAs for Evolving GRNs and Reaction Networks
  • Design Automation of Nucleic Acid Reaction System Simulated by Chemical Kinetics Based on Graph Rewriting Model / Ibuki Kawamata and Masami Hagiya
  • Using Evolutionary Algorithms to Study the Evolution of Gene Regulatory Networks Controlling Biological Development / Alexander Spirov and David Holloway
  • Evolving GRN-inspired In Vitro Oscillatory Systems / Quang Huy Dinh, Nathanael Aubert, Nasimul Noman, Hitoshi Iba and Yannic Rondelez
  • IV: Applications of GRN with EAs
  • Artificial Gene Regulatory Networks for Agent Control / Sylvain Cussat-Blanc, Jean Disset, Stéphane Sanchez and Yves Duthen
  • Evolving H-GRNs for Morphogenetic Adaptive Pattern Formation of Swarm Robots / Hyondong Oh and Yaochu Jin
  • Regulatory Representations in Architectural Design / Daniel Richards and Martyn Amos
  • Computing with Artificial Gene Regulatory Networks / Michael A. Lones.