{"product_id":"evolutionary-optimization-algorithms-hardback-9780470937419","title":"Evolutionary Optimization Algorithms (Hardback) 9780470937419","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eEvolutionary Optimization Algorithms\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eDan Simon (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780470937419, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 17 May 2013\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e784 pages\u003cbr\u003e23.9 x 16 x 4.8 cm, 1.225 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eA clear and lucid bottom-up approach to the basic principles of evolutionary algorithms\u003c\/b\u003e \t \u003c\/p\u003e\n\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\n\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\n\u003cp\u003e\u003ci\u003eEvolutionary Optimization Algorithms:\u003c\/i\u003e \u003c\/p\u003e\n\u003cul\u003e \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 \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 \u003cli\u003eIncludes chapter-end problems plus a solutions manual available online for instructors\u003c\/li\u003e \u003cli\u003eOffers simple examples that provide the reader with an intuitive understanding of the theory\u003c\/li\u003e \u003cli\u003eFeatures source code for the examples available on the author's website\u003c\/li\u003e \u003cli\u003eProvides advanced mathematical techniques for analyzing EAs, including Markov modeling and dynamic system modeling\u003c\/li\u003e \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\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eAcknowledgments xxi\u003cbr\u003e \u003cbr\u003e Acronyms xxiii\u003cbr\u003e \u003cbr\u003e List of Algorithms xxvii\u003cbr\u003e \u003cbr\u003e \u003cb\u003ePart I: Introduction to Evolutionary Optimization\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e 1 Introduction 1\u003cbr\u003e \u003cbr\u003e 2 Optimization 11\u003cbr\u003e \u003cbr\u003e \u003cb\u003ePart II: Classic Evolutionary Algorithms\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e 3 Generic Algorithms 35\u003cbr\u003e \u003cbr\u003e 4 Mathematical Models of Genetic Algorithms 63\u003cbr\u003e \u003cbr\u003e 5 Evolutionary Programming 95\u003cbr\u003e \u003cbr\u003e 6 Evolution Strategies 117\u003cbr\u003e \u003cbr\u003e 7 Genetic Programming 141\u003cbr\u003e \u003cbr\u003e 8 Evolutionary Algorithms Variations 179\u003cbr\u003e \u003cbr\u003e \u003cb\u003ePart III: More Recent Evolutionary Algorithms\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e 9 Simulated Annealing 223\u003cbr\u003e \u003cbr\u003e 10 Ant Colony Optimization 241\u003cbr\u003e \u003cbr\u003e 11 Particle Swarm Optimization 265\u003cbr\u003e \u003cbr\u003e 12 Differential Evolution 293\u003cbr\u003e \u003cbr\u003e 13 Estimation of Distribution Algorithms 313\u003cbr\u003e \u003cbr\u003e 14 Biogeography-Based Optimization 351\u003cbr\u003e \u003cbr\u003e 15 Cultural Algorithms 377\u003cbr\u003e \u003cbr\u003e 16 Opposition-Based Learning 397\u003cbr\u003e \u003cbr\u003e 17 Other Evolutionary Algorithms 421\u003cbr\u003e \u003cbr\u003e \u003cb\u003ePart IV: Special Type of Optimization Problems\u003c\/b\u003e \u003cbr\u003e \u003cbr\u003e 18 Combinatorial Optimization 449\u003cbr\u003e \u003cbr\u003e 19 Constrained Optimization 481\u003cbr\u003e \u003cbr\u003e 20 Multi-Objective Optimization 517\u003cbr\u003e \u003cbr\u003e 21 Expensive, Noisy and Dynamic Fitness Functions 563\u003cbr\u003e \u003cbr\u003e \u003cb\u003eAppendices\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e A Some Practical Advice 607\u003cbr\u003e \u003cbr\u003e B The No Free Lunch Theorem and Performance Testing 613\u003cbr\u003e \u003cbr\u003e C Benchmark Optimization Functions 641\u003c\/p\u003e \u003cp\u003eReferences 685\u003c\/p\u003e \u003cp\u003eTopic Index 727\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mathematics [\u003ca title=\"See our other books on Mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mathematics%20%5BPB%5D%22\"\u003ePB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand New","offer_id":52174332166424,"sku":"9780470937419","price":96.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9780470937419.jpg?v=1781174043","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/evolutionary-optimization-algorithms-hardback-9780470937419","provider":"Freshly Printed Books","version":"1.0","type":"link"}