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Optimization Techniques for Problem Solving in Uncertainty -

Anglų
2018-04-06
289,18 € 385,57 €

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When it comes to optimization techniques, in some cases, the available information from real models may not be enough to construct either a probability distribution or a membership function for problem solving. In such cases, there are various theories that can be used to quantify the uncertain aspects. Optimization Techniques for Problem Solving in Uncertainty is a scholarly reference resource that looks a ... Visas aprašymas

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Aprašymas

When it comes to optimization techniques, in some cases, the available information from real models may not be enough to construct either a probability distribution or a membership function for problem solving. In such cases, there are various theories that can be used to quantify the uncertain aspects. Optimization Techniques for Problem Solving in Uncertainty is a scholarly reference resource that looks at uncertain aspects involved in different disciplines and applications. Featuring coverage on a wide range of topics including uncertain preference, fuzzy multilevel programming, and metaheuristic applications, this book is geared towards engineers, managers, researchers, and post-graduate students seeking emerging research in the field of optimization.

Daugiau informacijos

Leidėjas Engineering Science Reference
Išleidimo metai 2018
Viršelio tipas Kieti viršeliai
EAN 9781522550914
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289,18 € 385,57 €