Hybrid Metaheuristic Optimization Approach: Theory and its Application
(Sprache: Englisch)
Mathematical optimization or mathematical programming is the selection of the best element from some set of available alternatives. Optimization problems of sorts arise in all quantitative disciplines from computer science and engineering to operations...
Leider schon ausverkauft
versandkostenfrei
Buch
39.90 €
19 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
Produktdetails
Produktinformationen zu „Hybrid Metaheuristic Optimization Approach: Theory and its Application “
Klappentext zu „Hybrid Metaheuristic Optimization Approach: Theory and its Application “
Mathematical optimization or mathematical programming is the selection of the best element from some set of available alternatives. Optimization problems of sorts arise in all quantitative disciplines from computer science and engineering to operations research and economics, and the development of solution methods has been of interest in mathematics for centuries. In the simplest case, an optimization problem consists of maximizing or minimizing a real function by systematically choosing input values from within an allowed set and computing the value of the function. The generalization of optimization theory and techniques to other formulations constitutes a large area of applied mathematics. More generally, optimization includes finding "best available" values of some objective function given a defined domain (or input), including a variety of different types of objective functions and different types of domains.
Autoren-Porträt von Gaurav Dhiman, Jaswinder Singh, Amandeep Kaur
Dhiman, GauravDr. Gaurav Dhiman received his Ph.D. in Computer Engineering from Thapar Institute of Engineering & Technology, Patiala. He is currently working as an Assistant Professor with the Department of Computer Science, Government Bikram College of Commerce, Patiala. He has published more than 25 peer-review research papers (indexed in SCI-SCIE).
Bibliographische Angaben
- Autoren: Gaurav Dhiman , Jaswinder Singh , Amandeep Kaur
- 2019, 52 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6200287341
- ISBN-13: 9786200287342
Sprache:
Englisch
Kommentar zu "Hybrid Metaheuristic Optimization Approach: Theory and its Application"
0 Gebrauchte Artikel zu „Hybrid Metaheuristic Optimization Approach: Theory and its Application“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Hybrid Metaheuristic Optimization Approach: Theory and its Application".
Kommentar verfassen