{"product_id":"evolutionary-optimization-algorithms-1","title":"Evolutionary Optimization Algorithms","description":"\u003cp\u003e\u003cb\u003eA clear and lucid bottom-up approach to the basic principles of evolutionary algorithms\u003c\/b\u003e \t \u003c\/p\u003e\u003cp\u003eEvolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant colonies. \u003c\/p\u003e\u003cp\u003eThis book discusses the theory, history, mathematics, and programming of evolutionary optimization algorithms. Featured algorithms include genetic algorithms, genetic programming, ant colony optimization, particle swarm optimization, differential evolution, biogeography-based optimization, and many others. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eEvolutionary Optimization Algorithms:\u003c\/i\u003e \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eProvides a straightforward, bottom-up approach that assists the reader in obtaining a clear—but theoretically rigorous—understanding of evolutionary algorithms, with an emphasis on implementation\u003c\/li\u003e\n\u003cli\u003eGives a careful treatment of recently developed EAs—including opposition-based learning, artificial fish swarms, bacterial foraging, and many others— and discusses their similarities and differences from more well-established EAs\u003c\/li\u003e\n\u003cli\u003eIncludes chapter-end problems plus a solutions manual available online for instructors\u003c\/li\u003e\n\u003cli\u003eOffers simple examples that provide the reader with an intuitive understanding of the theory\u003c\/li\u003e\n\u003cli\u003eFeatures source code for the examples available on the author's website\u003c\/li\u003e\n\u003cli\u003eProvides advanced mathematical techniques for analyzing EAs, including Markov modeling and dynamic system modeling\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eEvolutionary Optimization Algorithms: Biologically Inspired and Population-Based Approaches to Computer Intelligence is an ideal text for advanced undergraduate students, graduate students, and professionals involved in engineering and computer science.\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":54231874371928,"sku":"9780470937419","price":121.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9780470937419_fd4a5cf2-dcd3-4402-bb86-e438a8282930.jpg?v=1780025446","url":"https:\/\/agendabookshop.com\/products\/evolutionary-optimization-algorithms-1","provider":"Agenda Bookshop","version":"1.0","type":"link"}