Springer, 2012. — 469 p.
When applications or systems utilising EAs reach the production stage, off-the-shelf versions of these methods are typically replaced by dedicated algorithm variants. These specialised EAs often use tailored reproduction operators, search spaces differing significantly from the well-known binary or tree-based encodings, non-trivial genotype-phenotype mappings, or are hybridised with other optimisation algorithms. This book aims to promote the practitioner’s view on EAs by giving a comprehensive discussion of how EAs can be adapted to the requirements of various applications in the real-world domains. It comprises 14 chapters, which can be categorised into the following four sections:
Section I: Introduction
Section II: Planning & Scheduling
Section III: Engineering
Section IV: Data Collection, Retrieval & Mining