Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery

Recently, nature has stimulated many successful techniques, algorithms, and computational applications allowing conventionally difficult problems to be solved through novel computing systems.

Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering provides the latest findings in nature-inspired algorithms and their applications for breakthroughs in a wide range of disciplinary fields. This defining reference collection contains chapters written by leading researchers and well-known academicians within the field, offering readers a valuable and enriched accumulation of knowledge.



Section I: Introduction

Chapter I: Nature that Breeds Solutions

Section II: Nature-Inspired Solutions in Business

Chapter II: An Application of Genetic Programming to Forecasting Foreign Exchange Rates

Chapter III: Intelligent Business Process Execution using Particle Swarm Optimization

Section III: Nature-Inspired Solutions in Science

Chapter IV: An Artificial Life-Based Vegetation Modelling Approach for Biodiversity Research

Chapter V: Multimodal Genetic Algorithms for Craniofacial Superimposition

Chapter VI: Neural Networks in Medicine: Improving Difficult Automated Detection of Cancer in the Bile Ducts

Chapter VII: Solving Complex Problems in Human Genetics Using Nature-Inspired Algorithms Requires Strategies which Exploit Domain-Specific Knowledge

Section IV: Nature-Inspired Solutions in Computing & Engineering

Chapter VIII: AGE-P: An Evolutionary Platform for the Self-Organization of Smart-Appliance Ensembles

Chapter IX: Modelling Biological Processes Naturally using Systemic Computation: Genetic Algorithms, Neural Networks, and Artificial Immune Systems

Chapter X: Noble Ape's Cognitive Simulation: From Agar to Dreaming and Beyond

Chapter XI: Genetic Programming for Robust Text Independent Speaker Verification

Chapter XII: Combinational Circuit Design with Estimation of Distribution Algorithms

Chapter XIII: From the Real Ant to the Artificial Ant: Applications in Combinatorial Optimization, Data Clustering, Collective Robotics and Image Processing

Chapter XIV: Nature-Inspired Informatics for Telecommunication Network Design