{"product_id":"9781904602828","title":"Introduction to Mathematical Optimization: From Linear Programming to Metaheuristics","description":"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,\u003cbr\u003e Lagrange multipliers, and Hooke-Jeeves pattern search.\u003cbr\u003e Metaheuristic methods include ant colony optimization (ACO),\u003cbr\u003e particle swarm optimization (PSO), simulated annealing (SA), and\u003cbr\u003e Tabu search, recursive method for multiobjective optimization.\u003cbr\u003e With dozens of worked examples and three Matlab\/Octave programs, this book can ideally serve as a textbook, especially suitable for undergraduates and graduates.","brand":"Cambridge International Science Publishing","offers":[{"title":"Default Title","offer_id":47040011927792,"sku":"9781904602828","price":70.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781904602828_p0.jpg?v=1763613810","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781904602828","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}