Introduction to Mathematical Optimization: From Linear Programming to Metaheuristics - Softcover

Yang, Xin-She

Softcover

ISBN 10: 1904602827 ISBN 13: 9781904602828

Publisher: Cambridge International Science Publishing, 2008

Synopsis

This book provides a balanced selection of both conventional optimization algorithms and modern metaheuristic methods commonly used in mathematical optimization. Conventional algorithms include gradient-based methods such as the steepest descent method, the simplex method for linear programming, Lagrange multipliers, and Hooke-Jeeves pattern search. Metaheuristic methods include ant colony optimization (ACO), particle swarm optimization (PSO), simulated annealing (SA), and Tabu search, recursive method for multiobjective optimization. With dozens of worked examples and three Matlab/Octave programs, this book can ideally serve as a textbook, especially suitable for undergraduates and graduates.

About this title

About the Author

Xin-She Yang received his DPhil in applied mathematics from the University of Oxford. He is currently a research fellow at the Univer-sity of Cambridge. He is also the author of the book ""An Introduction to Computational Engineering With Matlab (CISP, 2006).

Edition details

• Publisher: Cambridge International Science Publishing
• Publication date: 2008
• ISBN 10: 1904602827
• ISBN 13: 9781904602828
• Binding: Paperback
• Language: English
• Number of pages: 164