Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery—Implications in Business, Science, and Engineering

Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery—Implications in Business, Science, and Engineering

Preface

Section 1 - Introduction

Chapter 1

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Nature that Breeds Solutions

Section 2 - Nature-Inspired Solutions in Business

Chapter 2

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An Application of Genetic Programming to Forecasting Foreign Exchange Rates

Chapter 3

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Intelligent Business Process Execution using Particle Swarm Optimization

Section 3 - Nature-Inspired Solutions in Science

Chapter 4

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An Artificial Life-Based Vegetation Modelling Approach for Biodiversity Research

Chapter 5

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Multimodal Genetic Algorithms for Craniofacial Superimposition

Chapter 6

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

Chapter 7

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Solving Complex Problems in Human Genetics Using Nature-Inspired Algorithms Requires Strategies Which Exploit Domain-Specific Knowledge

Section 4 - Nature-Inspired Solutions in Computing & Engineering

Chapter 8

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

Chapter 9

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

Chapter 10

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

Chapter 11

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Genetic Programming for Robust Text Independent Speaker Verification

Chapter 12

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Combinational Circuit Design with Estimation of Distribution Algorithms

Chapter 13

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

Chapter 14

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Nature-Inspired Informatics for Telecommunication Network Design

Compilation of References