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....
Predicting the future for financial gain is a difficult, sometimes profitable activity. The focus of this book is the application of biologically i...
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...
Recent years have seen the widespread application of Natural Computing algorithms (broadly defined in this context as computer algorithms whose des...
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...
Dynamic environments abound, encompassing many real-world problems in fields as diverse as finance, engineering, biology and business. A vibrant re...
RecentyearshaveseentheapplicationofvariousNaturalComputing algorithms for the purposes of ?nancial modelling. In this context Natural Computing - gorithms can be broadly de?ned as computer algorithms whose design draws inspirationfromphenomena in the naturalworld. Particularfeatures of?nancial markets, including their dynamic and interconnected characteristics, bear p- allels with processes in the natural world and prima facie, this makes Natural Computingmethods'interesting'for?nancialmodellingapplications. Inaddition to the problem-solving potential of natural processes which Natural...
RecentyearshaveseentheapplicationofvariousNaturalComputing algorithms for the purposes of ?nancial modelling. In this context Natural Computing - gori...
Natural Computing in Computational Finance is a innovative volume containing fifteen chapters which illustrate cutting-edge applications of natural computing or agent-based modeling in modern computational finance. Following an introductory chapter the book is organized into three sections. The first section deals with optimization applications of natural computing demonstrating the application of a broad range of algorithms including, genetic algorithms, differential evolution, evolution strategies, quantum-inspired evolutionary algorithms and bacterial foraging algorithms to multiple...
Natural Computing in Computational Finance is a innovative volume containing fifteen chapters which illustrate cutting-edge applications of natural co...
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....
Predicting the future for financial gain is a difficult, sometimes profitable activity. The focus of this book is the application of biologically i...
RecentyearshaveseentheapplicationofvariousNaturalComputing algorithms for the purposes of ?nancial modelling. In this context Natural Computing - gorithms can be broadly de?ned as computer algorithms whose design draws inspirationfromphenomena in the naturalworld. Particularfeatures of?nancial markets, including their dynamic and interconnected characteristics, bear p- allels with processes in the natural world and prima facie, this makes Natural Computingmethods'interesting'for?nancialmodellingapplications. Inaddition to the problem-solving potential of natural processes which Natural...
RecentyearshaveseentheapplicationofvariousNaturalComputing algorithms for the purposes of ?nancial modelling. In this context Natural Computing - gori...
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...
The field of natural computing has been the focus of a substantial research effort in recent decades. One particular strand of this research concer...
This book is an introduction to relevant aspects of the foraging literature for algorithmic design, and an overview of key families of optimization algorithms that stem from a foraging metaphor.
This book is an introduction to relevant aspects of the foraging literature for algorithmic design, and an overview of key families of optimization al...
