{"title":"Anthony Brabazon","description":null,"products":[{"product_id":"natural-computing-algorithms-book-anthony-brabazon-9783662436301","title":"Natural Computing Algorithms","description":"Natural Computing Algorithms","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52122459013393,"sku":"NLS9783662436301","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":52761902842129,"sku":"NIN9783662436301","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783662436301.jpg?v=1786094515"},{"product_id":"biologically-inspired-algorithms-for-financial-modelling-book-anthony-brabazon-9783540262527","title":"Biologically Inspired Algorithms for Financial Modelling","description":"Predicting the future for financial gain is a difficult, sometimes profitable activity. This book focuses on the application of biologically inspired algorithms (BIAs) to financial modelling. It explains computer trading on financial markets and the difficulties faced in financial market modelling.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52125462888721,"sku":"NLS9783540262527","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783540262527.jpg?v=1788000721"},{"product_id":"natural-computing-in-computational-finance-book-anthony-brabazon-9783642233357","title":"Natural Computing in Computational Finance","description":"\u003cp\u003eThis book follows on from Natural Computing in Computational Finance  Volumes I, II and III.   As in the previous volumes of this series, the  book consists of a series of  chapters each of \u003c\/p\u003e\u003cp\u003ewhich was selected following a rigorous, peer-reviewed, selection process.  The chapters illustrate the application of a range of cutting-edge natural  computing and agent-based methodologies in computational finance and economics. \u003c\/p\u003e\u003cp\u003eThe applications explored include  option model calibration, financial trend reversal detection, enhanced indexation, algorithmic trading,  corporate payout determination and agent-based modeling of liquidity costs, and trade strategy adaptation.  While describing cutting edge applications, the chapters are \u003c\/p\u003e\u003cp\u003ewritten so that they are accessible to a wide audience. Hence, they should be of interest  to academics, students and practitioners in the fields of computational finance and  economics.  \u003c\/p\u003e\u003cp\u003ewhich was selected following a rigorous, peer-reviewed, selection process.  The chapters illustrate the application of a range of cutting-edge natural  computing and agent-based methodologies in computational finance and economics. \u003c\/p\u003e\u003cp\u003eThe applications explored include  option model calibration, financial trend reversal detection, enhanced indexation, algorithmic trading, corporate payout determination and agent-based modeling of liquidity costs, and trade strategy adaptation.  While describing cutting edge applications, the chapters are \u003c\/p\u003e\u003cp\u003ewritten so that they are accessible to a wide audience. Hence, they should be of interest  to academics, students and practitioners in the fields of computational finance and  economics.  \u003c\/p\u003e\u003cp\u003eThe applications explored include  option model calibration, financial trend reversal detection, enhanced indexation, algorithmic trading,  corporate payout determination and agent-based modeling of liquidity costs, and trade strategy adaptation.  While describing cutting edge applications, the chapters are \u003c\/p\u003e\u003cp\u003ewritten so that they are accessible to a wide audience. Hence, they should be of interest  to academics, students and practitioners in the fields of computational finance and  economics.  \u003c\/p\u003e\u003cp\u003ewritten so that they are accessible to a wide audience. Hence, they should be of interest  to academics, students and practitioners in the fields of computational finance and  economics.  \u003c\/p\u003e","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52139110400273,"sku":"NLS9783642233357","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783642233357.jpg?v=1757567101"},{"product_id":"biologically-inspired-algorithms-for-financial-modelling-book-anthony-brabazon-9783642065736","title":"Biologically Inspired Algorithms for Financial Modelling","description":"\u003cp\u003ePredicting 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.\u003c\/p\u003e\n\u003cp\u003eIn 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. Part II brings the reader through the development of market trading systems. Finally, Part III examines real-world case studies where BIA methodologies are employed to construct trading systems in equity and foreign exchange markets, and for the prediction of corporate bond ratings and corporate failures.\u003c\/p\u003e\n\u003cp\u003eThe book was written for those in the finance community who want to apply BIAs in financial modelling, and for computer scientists who want an introduction to this growing application domain.\u003c\/p\u003e","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":52332666454289,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52332666814737,"sku":"NLS9783642065736","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783642065736.jpg?v=1786086482"},{"product_id":"natural-computing-in-computational-finance-book-anthony-brabazon-9783540774761","title":"Natural Computing in Computational Finance","description":"Illustrates applications of natural computing or agent-based modeling in modern computational finance. This book deals with optimization applications of natural computing demonstrating the application of a broad range of algorithms including, genetic algorithms, differential evolution, and quantum-inspired evolutionary algorithms.","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":52401703158033,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52401703944465,"sku":"NLS9783540774761","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783540774761.jpg?v=1786065268"},{"product_id":"natural-computing-in-computational-finance-book-anthony-brabazon-9783642096204","title":"Natural Computing in Computational Finance","description":"\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003eNatural 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 financial applications including portfolio optimization, fund allocation and asset pricing. The second section explores the use of natural computing methodologies such as genetic programming, neural network hybrids and fuzzy-evolutionary hybrids for model induction in order to construct market trading, credit scoring and market prediction systems. The final section illustrates a range of agent-based applications including the modeling of payment card and financial markets. Each chapter provides an introduction to the relevant natural computing methodology as well as providing a clear description of the financial application addressed.\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003eThe book was written to be accessible to a wide audience and should be of interest to practitioners, academics and students, in the fields of both natural computing and finance.\u003c\/p\u003e","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":52455619592465,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52455620083985,"sku":"NLS9783642096204","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783642096204.jpg?v=1789562991"},{"product_id":"natural-computing-in-computational-finance-book-anthony-brabazon-9783642101120","title":"Natural Computing in Computational Finance","description":"\u003cp\u003eRecent 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. 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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.\u003c\/p\u003e\u003cp\u003eThis book is a comprehensive introduction to natural computing algorithms, suitable for academic and industrial researchers and for undergraduate and graduate courses on natural computing in computer science, engineering and management science. \u003c\/p\u003e","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52590222508305,"sku":"NLS9783662501160","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783662501160.jpg?v=1786874185"},{"product_id":"foraging-inspired-optimisation-algorithms-book-anthony-brabazon-9783319591551","title":"Foraging-Inspired Optimisation Algorithms","description":"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.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52618398564625,"sku":"NLS9783319591551","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783319591551.jpg?v=1786873612"},{"product_id":"foraging-inspired-optimisation-algorithms-book-anthony-brabazon-9783030096403","title":"Foraging-Inspired Optimisation Algorithms","description":"\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis 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. The authors first offer perspectives on foraging and foraging-inspired algorithms for optimization, they then explain the techniques inspired by the behaviors of vertebrates, invertebrates, and non-neuronal organisms, and they then discuss algorithms based on formal models of foraging, how to evolve a foraging strategy, and likely future developments.\u003c\/p\u003e\u003cp\u003eNo prior knowledge of natural computing is assumed. 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Thechaptersillustratetheapplication of a range of cutting-edge natural computing and agent-based methodologies in computational ?nance and economics. While describing cutting edge appli- tions, the chapters are written so that they are accessible to a wide audience. 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