Introduction to Mathematical Optimization

Editora:

Cambridge International Science

Código:

491_9781904602828

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This book provides a balanced selection of both conventionaloptimization algorithms and modern metaheuristic methodscommonly used in mathematical optimization. Conventionalalgorithms include gradient-based methods such as the steepestdescent 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), andTabu search, recursive method for multiobjective optimization.With dozens of worked examples and three Matlab/Octaveprograms, this book can ideally serve as a textbook, especiallysuitable for undergraduates and graduates.

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