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German history, along with the supposed civilizing effects of Judeo-Christianity, are, thefore, traced from Roman times to the chaotic conditions after WWI which allowed a fanatical, nationalist dictator to came to power.

The relentless infiltration of the Jews into Europe is outlined, explaining why they came. Also discussed is the inability of Germans to unite as a nation of German speakers and the disaster that befell Europe following Luther's...

German history, along with the supposed civilizing effects of Judeo-Christianity, are, thefore, traced from Roman times to the chaotic conditions after WWI which allowed a fanatical, nationalist dictator to came to power.

The relentless infiltration of the Jews into Europe is outlined, explaining why they came. Also discussed is the inability of Germans to unite as a nation of German speakers and the disaster that befell Europe following Luther's...

Evelyn is a clever orphan at the Fountainbridge Institute for Destitute Girls. Enchanted by a cheerful lamplighter who fires the streetlamp outside her window each evening, she mesmerizes the other girls with flights of fancy. In a time before Freudian awareness of sexuality and the subconscious mind, such tales are forbidden by the institute's governor, who warns Evelyn to cease her nocturnal storytelling.

Evelyn...

Predicting the future for financial gain is a difficult, sometimes profitable activity. The focus of this book is the application of biologically inspired algorithms (BIAs) to financial modelling.

In a detailed introduction, the authors explain computer trading on financial markets and the difficulties faced in financial market modelling. Then Part I provides a thorough guide to the various bioinspired methodologies - neural networks, evolutionary computing (particularly genetic algorithms and grammatical evolution), particle swarm and ant colony optimization, and immune systems....

Dynamic environments abound, encompassing many real-world problems in fields as diverse as finance, engineering, biology and business. A vibrant research literature has emerged which takes inspiration from evolutionary processes to develop problem-solvers for these environments.

'Foundations in Grammatical Evolution for Dynamic Environments' is a cutting edge volume illustrating current state of the art in applying grammar-based evolutionary computation to solve real-world problems in dynamic environments. The book provides a clear introduction to dynamic environments and...

The field of natural computing has been the focus of a substantial research effort in recent decades. One particular strand of this research concerns the development of computational algorithms using metaphorical inspiration from systems and phenomena that occur in the natural world. These naturally inspired computing algorithms have proven to be successful problem-solvers across domains as diverse as management science, bioinformatics, finance, marketing, engineering, architecture and design.

This book is a comprehensive introduction to natural computing algorithms, suitable for...

Recent years have seen the widespread application of Natural Computing algorithms (broadly defined in this context as computer algorithms whose design draws inspiration from phenomena in the natural world) for the purposes of financial modelling and optimisation. A related stream of work has also seen the application of learning mechanisms drawn from Natural Computing algorithms for the purposes of agent-based modelling in finance and economics. In this book we have collected a series of chapters which illustrate these two faces of Natural Computing. The first part of the book illustrates...

Predicting the future for financial gain is a difficult, sometimes profitable activity. The focus of this book is the application of biologically inspired algorithms (BIAs) to financial modelling.

In a detailed introduction, the authors explain computer trading on financial markets and the difficulties faced in financial market modelling. Then Part I provides a thorough guide to the various bioinspired methodologies - neural networks, evolutionary computing (particularly genetic algorithms and grammatical evolution), particle swarm and ant colony optimization, and immune systems....