Description

The purpose of this book is to present the main metaheuristics and approximate and stochastic methods for optimization of complex systems in Engineering Sciences. It has been written within the framework of the European Union project ERRIC (Empowering Romanian Research on Intelligent Information Technologies), which is funded by the EU’s FP7 Research Potential program and has been developed in co-operation between French and Romanian teaching researchers. Through the principles of various proposed algorithms (with additional references) this book allows the reader to explore various methods of implementation such as metaheuristics, local search and populationbased methods. It examines multi-objective and stochastic optimization, as well as methods and tools for computer-aided decision-making and simulation for decision-making.

Optimization in Engineering Sciences: Metaheuristic, Stochastic Methods and Decision Support

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£160.95

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Hardback by Dan Stefanoiu , Pierre Borne

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The purpose of this book is to present the main metaheuristics and approximate and stochastic methods for optimization of complex... Read more

    Publisher: ISTE Ltd and John Wiley & Sons Inc
    Publication Date: 21/11/2014
    ISBN13: 9781848214989, 978-1848214989
    ISBN10: 1848214987

    Number of Pages: 448

    Non Fiction , Technology, Engineering & Agriculture , Education

    Description

    The purpose of this book is to present the main metaheuristics and approximate and stochastic methods for optimization of complex systems in Engineering Sciences. It has been written within the framework of the European Union project ERRIC (Empowering Romanian Research on Intelligent Information Technologies), which is funded by the EU’s FP7 Research Potential program and has been developed in co-operation between French and Romanian teaching researchers. Through the principles of various proposed algorithms (with additional references) this book allows the reader to explore various methods of implementation such as metaheuristics, local search and populationbased methods. It examines multi-objective and stochastic optimization, as well as methods and tools for computer-aided decision-making and simulation for decision-making.

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