Symbolic Regression


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Evolutionary Computation in Economics and Finance


Evolutionary Computation in Economics and Finance

Author: Shu-Heng Chen

language: en

Publisher: Physica

Release Date: 2013-11-11


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After a decade's development, evolutionary computation (EC) proves to be a powerful tool kit for economic analysis. While the demand for this equipment is increasing, there is no volume exclusively written for economists. This volume for the first time helps economists to get a quick grasp on how EC may support their research. A comprehensive coverage of the subject is given, that includes the following three areas: game theory, agent-based economic modelling and financial engineering. Twenty leading scholars from each of these areas contribute a chapter to the volume. The reader will find himself treading the path of the history of this research area, from the fledgling stage to the burgeoning era. The results on games, labour markets, pollution control, institution and productivity, financial markets, trading systems design and derivative pricing, are new and interesting for different target groups. The book also includes informations on web sites, conferences, and computer software.

Evolutionary Algorithms and Chaotic Systems


Evolutionary Algorithms and Chaotic Systems

Author: Ivan Zelinka

language: en

Publisher: Springer Science & Business Media

Release Date: 2010-02-23


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This book discusses the mutual intersection of two fields of research: evolutionary computation, which can handle tasks such as control of various chaotic systems, and deterministic chaos, which is investigated as a behavioral part of evolutionary algorithms.

Genetic Programming Theory and Practice V


Genetic Programming Theory and Practice V

Author: Rick Riolo

language: en

Publisher: Springer Science & Business Media

Release Date: 2007-12-20


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Genetic Programming Theory and Practice V was developed from the fifth workshop at the University of Michigan’s Center for the Study of Complex Systems. It aims to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). This volume is a unique and indispensable tool for academics, researchers and industry professionals involved in GP, evolutionary computation, machine learning and artificial intelligence.