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About Optimization Basic Concepts
The document provides an overview of the historical development of optimization methods and modeling approaches. It discusses how optimization methods originated with Newton, Lagrange, and Cauchy and were advanced through the 20th century with developments like the simplex method for linear programming. It also introduces newer approaches like simulated annealing, genetic algorithms, and neural networks. Additionally, it outlines the process of developing an optimization model, including data collection, problem definition, model development, validation, and application. Engineering applications of optimization are briefly surveyed across various disciplines like civil, mechanical, electrical, and chemical engineering.
Detailed Information
| Author: | ['jyothis_joy8315'] |
|---|---|
| Publication Year: | 2011 |
| Pages: | 5 |
| Language: | English |
| Format: | |
| Price: | FREE |
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