Optimization | Algorithms and Applications

Rajesh Kumar Arora

ISBN 10: 1498721125 / ISBN 13: 9781498721127

Published by Chapman and Hall/CRC, 2015

About this Item

Optimization | Algorithms and Applications | Rajesh Kumar Arora | Buch | Englisch | 2015 | Chapman and Hall/CRC | EAN 9781498721127 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 128521008

Bibliographic Details

• Title: Optimization | Algorithms and Applications
• Publisher: Chapman and Hall/CRC
• Publication Date: 2015
• Language: English
• ISBN 10: 1498721125
• ISBN 13: 9781498721127
• Binding: Buch
• Condition: Neu
• Dimensions: 240W x 161H x 30D millimeters 240 millimeters width by 161 millimeters height by 30 millimeters depth
• Weight: 863 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Choose the Correct Solution Method for Your Optimization Problem

Optimization: Algorithms and Applications presents a variety of solution techniques for optimization problems, emphasizing concepts rather than rigorous mathematical details and proofs.

The book covers both gradient and stochastic methods as solution techniques for unconstrained and constrained optimization problems. It discusses the conjugate gradient method, Broyden–Fletcher–Goldfarb–Shanno algorithm, Powell method, penalty function, augmented Lagrange multiplier method, sequential quadratic programming, method of feasible directions, genetic algorithms, particle swarm optimization (PSO), simulated annealing, ant colony optimization, and tabu search methods. The author shows how to solve non-convex multi-objective optimization problems using simple modifications of the basic PSO code. The book also introduces multidisciplinary design optimization (MDO) architectures―one of the first optimization books to do so―and develops software codes for the simplex method and affine-scaling interior point method for solving linear programming problems. In addition, it examines Gomory’s cutting plane method, the branch-and-bound method, and Balas’ algorithm for integer programming problems.

The author follows a step-by-step approach to developing the MATLAB® codes from the algorithms. He then applies the codes to solve both standard functions taken from the literature and real-world applications, including a complex trajectory design problem of a robot, a portfolio optimization problem, and a multi-objective shape optimization problem of a reentry body. This hands-on approach improves your understanding and confidence in handling different solution methods. The MATLAB codes are available on the book’s CRC Press web page.

About the Author

Rajesh Kumar Arora is a senior engineer at the Indian Space Research Organization, where he has been working for more than two decades. He obtained his PhD in aerospace engineering from the Indian Institute of Science, Bangalore. His research interests include mission design, simulation of launch vehicle systems, and trajectory optimization.