ISBN: 9783642208591

Computational optimization is an important paradigm with a wide range of applications. In virtually all branches of engineering and industry, we almost always try to optimize something - … Mehr…

Computational optimization is an important paradigm with a wide range of applications. In virtually all branches of engineering and industry, we almost always try to optimize something - whether to minimize the cost and energy consumption, or to maximize profits, outputs, performance and efficiency. In many cases, this search for optimality is challenging, either because of the high computational cost of evaluating objectives and constraints, or because of the nonlinearity, multimodality, discontinuity and uncertainty of the problem functions in the real-world systems. Another complication is that most problems are often NP-hard, that is, the solution time for finding the optimum increases exponentially with the problem size. The development of efficient algorithms and specialized techniques that address these difficulties is of primary importance for contemporary engineering, science and industry.   This book consists of 12 self-contained chapters, contributed from worldwide experts who are working in these exciting areas. The book strives to review and discuss the latest developments concerning optimization and modelling with a focus on methods and algorithms for computational optimization. It also covers well-chosen, real-world applications in science, engineering and industry. Main topics include derivative-free optimization, multi-objective evolutionary algorithms, surrogate-based methods, maximum simulated likelihood estimation, support vector machines, and metaheuristic algorithms. Application case studies include aerodynamic shape optimization, microwave engineering, black-box optimization, classification, economics, inventory optimization and structural optimization. This graduate level book can serve as an excellent reference for lecturers, researchers and students in computational science, engineering and industry. Books > Engineering eBook, Springer Shop<

ISBN: 9783642208591

Engineering; Computational Intelligence; Artificial Intelligence (incl. Robotics) Design optimization, Design optimization, derivative-free optimization, derivative-free optimization, eng… Mehr…

Engineering; Computational Intelligence; Artificial Intelligence (incl. Robotics) Design optimization, Design optimization, derivative-free optimization, derivative-free optimization, engineering optimization, engineering optimization, evolutionary algorithms, evolutionary algorithms, firefly algorithm, firefly algorithm, genetic algorithms, genetic algorithms, gradient-based method, gradient-based method Books eBook, Springer Nature<

ISBN: 9783642208591

Computational optimization is an important paradigm with a wide range of applications. This book reviews and discusses the latest developments concerning optimization and modelling with a… Mehr…

Computational optimization is an important paradigm with a wide range of applications. This book reviews and discusses the latest developments concerning optimization and modelling with a focus on methods and algorithms for computational optimization. ; PDF; Scientific, Technical and Medical > Mathematics > Optimization, Springer Vienna<

ISBN: 9783642208591

Computational Optimization, Methods and Algorithms:Studies in Computational Intelligence Computational Optimization, Methods and Algorithms:Studies in Computational Intelligence eBooks >… Mehr…

Computational Optimization, Methods and Algorithms:Studies in Computational Intelligence Computational Optimization, Methods and Algorithms:Studies in Computational Intelligence eBooks > Sachthemen & Ratgeber > Computer & Internet, Springer Berlin Heidelberg<

ISBN: 9783642208591

Studies in Computational Intelligence Studies in Computational Intelligence eBooks > Sachthemen Ratgeber > Computer Internet, [PU: Springer, Berlin/Heidelberg/New York, NY]