Automatic Re-engineering of Software Using Genetic Programming describes the application of Genetic Programming to a real world application area - software re-engineering in general and automatic parallelization specifically. Unlike most uses of Genetic Programming, this book evolves sequences of provable transformations rather than actual programs. It demonstrates that the benefits of this approach are twofold: first, the time required for evaluating a population is drastically r...

This contributed volume, written by leading international researchers, reviews the latest developments of genetic programming (GP) and its key applications in solving current real world problems, such as energy conversion and management, financial analysis, engineering modeling and design, and software engineering, to name a few. Inspired by natural evolution, the use of GP has expanded significantly in the last decade in almost every area of science and engineering. Exploring applications...

This handbook offers a comprehensive treatise on Grammatical Evolution (GE), a grammar-based Evolutionary Algorithm that employs a function to map binary strings into higher-level structures such as programs. GE's simplicity and modular nature make it a very flexible tool. Since its introduction almost twenty years ago, researchers have applied it to a vast range of problem domains, including financial modelling, parallel programming and genetics. Similarly, much work has been conducted to...

An engaging introductory textbook of Catholic theology presented through the thought of Ignatius of LoyolaWho Will You Become? reimagines an introduction to Catholic theology through the framework of the Spiritual Exercises of Ignatius of Loyola, the founder of the Jesuits. In this textbook, Ryan G. Duns, SJ, and Conor M. Kelly draw on the concept of discernment—praying and meditating before making decisions—in the Jesuit tradition, and they invite readers...

Contemporary and challenging, this thought-provoking book outlines a number of the key dilemmas in animal welfare for today's, and tomorrow's, world. The issues discussed range from the welfare of hunted animals, to debates around intensive farming versus sustainability, and the effects of climate and environmental change. The book explores the effects of fences on wild animals and human impacts on carrion animals; the impacts of tourism on animal welfare; philosophical questions about spe...

Ancient stories that challenge modern notions of what it means to be a hero.The ancient gods of Ireland were once worshipped throughout the land. Powerful and brave, they were unafraid to show their vulnerability, reject violence, or lean on others for support. Sadly, their stories – passed down by our ancestors – are all but forgotten.Gods Don’t Cry reawakens these gods, whose ancient tales redefine modern ideas of what it means to be a hero. From Mannanán, who us...

A comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures.New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches t...

This handbook and ready reference presents a combination of statistical, information-theoretic, and data analysis methods to meet the challenge of designing empirical models involving molecular descriptors within bioinformatics. The topics range from investigating information processing in chemical and biological networks to studying statistical and information-theoretic techniques for analyzing chemical structures to employing data analysis and machine learning techniques for QSAR/QSPR.

The positive reciprocal pairwise comparison matrix (PCM) is one of the key components which is used to quantify the qualitative and/or intangible attributes into measurable quantities. This book examines six understudied issues of PCM, i.e. consistency test, inconsistent data identification and adjustment, data collection, missing or uncertain data estimation, and sensitivity analysis of rank reversal. The maximum eigenvalue threshold method is proposed as the new consistency index for the...

Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the cutting edge technological paradigms under the umbrella of computational intelligence. Computational intelligence schemes are investigated with the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy systems, evolutionary-fuzzy systems and evolutionary neural systems. Applications to linear...

In recent years, ELM has emerged as a revolutionary technique of computational intelligence, and has attracted considerable attentions. An extreme learning machine (ELM) is a single layer feed-forward neural network alike learning system, whose connections from the input layer to the hidden layer are randomly generated, while the connections from the hidden layer to the output layer are learned through linear learning methods. The outstanding merits of extreme learning machine (ELM) are it...

Using a collaborative and interdisciplinary author base with experience in the pharmaceutical industry and academia, this book is a practical resource for high content (HC) techniques.• Instructs readers on the fundamentals of high content screening (HCS) techniques• Focuses on practical and widely-used techniques like image processing and multiparametric assays• Breaks down HCS into individual modules for training and connects them at the end• Includes a tutor...