Optimization Techniques for Problem Solving in Uncertainty -
-25% su kodu BOOKS
Pristatymas per 17-23 d.d.
30 dienų grąžinimo politika
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
Jums taip pat gali patikti
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 |