{"product_id":"essentials-of-metaheuristics-second-edition","title":"Essentials of Metaheuristics (Second Edition)","description":"\u003cp\u003eInterested in the Genetic Algorithm? Simulated Annealing? Ant Colony Optimization? Essentials of Metaheuristics covers these and other metaheuristics algorithms, and is intended for undergraduate students, programmers, and non-experts. The book covers a wide range of algorithms, representations, selection and modification operators, and related topics, and includes 71 figures and 135 algorithms great and small. Algorithms include: Gradient Ascent techniques, Hill-Climbing variants, Simulated Annealing, Tabu Search variants, Iterated Local Search, Evolution Strategies, the Genetic Algorithm, the Steady-State Genetic Algorithm, Differential Evolution, Particle Swarm Optimization, Genetic Programming variants, One- and Two-Population Competitive Coevolution, N-Population Cooperative Coevolution, Implicit Fitness Sharing, Deterministic Crowding, NSGA-II, SPEA2, GRASP, Ant Colony Optimization variants, Guided Local Search, LEM, PBIL, UMDA, cGA, BOA, SAMUEL, ZCS, XCS, and XCSF.\u003c\/p\u003e","brand":"Sean Luke","offers":[{"title":"Paperback","offer_id":44233508454561,"sku":"9781300549628","price":43.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0462\/1120\/3233\/files\/1dmg8j86-front-shortedge-384.jpg?v=1748393419","url":"https:\/\/bookswholesale.myshopify.com\/products\/essentials-of-metaheuristics-second-edition","provider":"BooksWholesale","version":"1.0","type":"link"}