Introduction to Mathematical Optimization From Linear Programming to Metaheuristics

Author/creator Yang, Xin-She Author
Format Electronic
Publication InfoCambridge : Cambridge International Science Publishing, Limited LaVergne : Ingram Publisher Services [Distributor]
Description160 p. 09.260 x 06.410 in.
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects

Summary Annotation <div>This book strives to provide a balanced coverage of efficient algorithms commonly used in solving mathematical optimization problems. It covers both the convectional algorithms and modern heuristic and metaheuristic methods. Topics include gradient-based algorithms such as Newton-Raphson method, steepest descent method, Hooke-Jeeves pattern search, Lagrange multipliers, linear programming, particle swarm optimization (PSO), simulated annealing (SA), and Tabu search. Multiobjective optimization including important concepts such as Pareto optimality and utility method is also described. Three Matlab and Octave programs so as to demonstrate how PSO and SA work are provided. An example of demonstrating how to modify these programs to solve multiobjective optimization problems using recursive method is discussed.</div>
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
ISBN9781904602828
ISBN1904602827 (Perfect) Active Record
Standard identifier# 9781904602828
Stock number00137832

Availability

Library Location Call Number Status Item Actions
Electronic Resources Access Content Online ✔ Available