Memetic algorithms are evolutionary algorithms that apply a local search process to refine solutions to hard problems. Memetic algorithms are the subject of intense scientific research and have been successfully applied to a multitude of real-world problems ranging from the construction of optimal university exam timetables, to the prediction of protein structures and the optimal design of space-craft trajectories. This monograph presents a rich state-of-the-art gallery of works on memetic algorithms. Recent Advances in Memetic Algorithms is the first book that focuses on this technology as the central topical matter. This book gives a coherent, integrated view on both good practice examples and new trends including a concise and self-contained introduction to memetic algorithms. It is a necessary read for postgraduate students and researchers interested in recent advances in search and optimization technologies based on memetic algorithms, but can also be used as complement to undergraduate textbooks on artificial intelligence.

Key Topics in Clinical Research aims to provide a short, clear, highlighted reference to guide trainees and trainers through research and audit projects, from first idea, through to data collection and statistical analysis, to presentation and publication. This book is also designed to assist trainees in preparing for their specialty examinations by providing comprehensive, concise, easily accessible and easily understandable information on all aspects of clinical research and audit.

Arguably the greatest challenges facing humanity are environmental. However, they are routinely under-reported in the media. Pressure groups and governments trying to get information through to the public often blame the media, but the picture is not necessarily this simple. This text presents the state of knowledge about media treatment and public understanding of key environmental issues, above all, climate change and biodiversity loss, which have enormous implications for economic, social and environmental security, yet mean little to the person in the street. The concept of sustainable development, which underpins responses to these problems is also shown to be unknown by most people.

The overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to choose and design algorithms for different representations. They also added a chapter on problems, reflecting the overall book focus on problem-solvers, a chapter on parameter tuning, which they combined with the parameter control and "how-to" chapters into a methodological part, and finally a chapter on evolutionary robotics with an outlook on possible exciting developments in this field. The book is suitable for undergraduate and graduate courses in artificial intelligence and computational intelligence, and for self-study by practitioners and researchers engaged with all aspects of bioinspired design and optimization.

The genus Aspergillus has a worldwide distribution and is one of the most common of all groups of fungi. They are possibly the greatest contami nants of natural and man-made organic products, and a few species can cause infections in man and animals. The aspergilli are also one of the most important mycotoxin-producing groups of fungi when growing as contaminants of cereals, oil seeds, and other foods. Not all aspergilli are viewed as troublesome contaminants, however, as several species have had their metabolic capabilities harnessed for commercial use. The aspergilli have long been associated in the Far East with the koji stage of several food fermentations, particularly soy sauce and miso, and subsequently as a source of useful enzymes. The ability of these fungi to produce several organic acids, especially citric acid, has created major industrial complexes worldwide. Traditional methods of strain develop ment have been extensively studied with the industrial strains, while more recently, recombinant DNA technology has been applied to the aspergilli with emphasis on heterologous protein production. In compiling this book, I have been fortunate to have the full enthu siastic involvement of the authors, and to them I extend my very grateful thanks for mostly being on time and for producing such readable and authoritative chapters. Collectively, we hope that our efforts will strengthen the scientific understanding of this intriguing group of filamentous fungi and further their use in the field of biotechnology.

Memetic algorithms are evolutionary algorithms that apply a local search process to refine solutions to hard problems. Memetic algorithms are the subject of intense scientific research and have been successfully applied to a multitude of real-world problems ranging from the construction of optimal university exam timetables, to the prediction of protein structures and the optimal design of space-craft trajectories. This monograph presents a rich state-of-the-art gallery of works on memetic algorithms. Recent Advances in Memetic Algorithms is the first book that focuses on this technology as the central topical matter. This book gives a coherent, integrated view on both good practice examples and new trends including a concise and self-contained introduction to memetic algorithms. It is a necessary read for postgraduate students and researchers interested in recent advances in search and optimization technologies based on memetic algorithms, but can also be used as complement to undergraduate textbooks on artificial intelligence.

'The world has enough for everybody's need, but not enough for one person's greed' Gandhi Greens are driven by a concern with the fate of future generations and the natural world on which we all depend. They argue that theirs is the only way of ensuring the survival of a sustainable planet. The case they make is powerful, emotive, urgent and politically controversial. In the space of a couple of decades, Greens have shaped an influential movement. Issues such as climate change and biodiversity loss are now familiar and widely accepted.The challenge for Greens today is to turn mainstream rhetoric into meaningful action. In this readable and wide-ranging introduction, Joe Smith summarizes the historical roots of the Green movement and some of the main intellectual building blocks of Green thinking. He goes on to consider whether they have the appetite and potential to 'change the world'.

Climate change is one of the most complex, multilayered and interdisciplinary intellectual puzzles facing us today. The questions are numerous. What scientific processes underpin climate change? To what extent is human activity a driver of climate change? Can future changes be reliably predicted? What are the likely consequences of climate change, and what policies are needed to mitigate these changes?
Climate Change offers a unique interdisciplinary journey through this important, and equally fascinating, field. It takes the reader from keystones of the underlying science - and not just the headlines - through to the philosophical and political consequences of climate change.
Taking into account latest scientific research and policy decisions, it blends earth science, biology, technology, economics, geography, politics, philosophy and ethics - together with other themes - to present a coherent, balanced overview of the field, with a particular eye towards one goal: the sustainability of our planet.
The potential impact of climate change is vast; Climate Change is the ideal guide to developing the skills needed to take part in the debates that will shape our future.
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