{"product_id":"iterative-computer-algorithms-with-applications-in-engineering-solving-combinatorial-optimization-problems-paperback-softback-9780769501000","title":"Iterative Computer Algorithms with Applications in Engineering; Solving Combinatorial Optimization Problems (Paperback \/ softback) 9780769501000","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eIterative Computer Algorithms with Applications in Engineering\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eSolving Combinatorial Optimization Problems\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eSadiq M. Sait (Author), Habib Youssef (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780769501000, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 27 January 2000\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e416 pages\u003cbr\u003e23 x 15.2 x 2.6 cm, 0.611 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\"\u003eIterative Computer Algorithms with Applications in Engineering describes in-depth the five main iterative algorithms for solving hard combinatorial optimization problems: Simulated Annealing, Genetic Algorithms, Tabu Search, Simulated Evolution, and Stochastic Evolution. The authors present various iterative techniques and illustrate how they can be applied to solve several NP-hard problems.\u003cbr\u003e \u003cbr\u003e For each algorithm, the authors present the procedures of the algorithm, parameter selection criteria, convergence property analysis, and parallelization. There are also several real-world examples that illustrate various aspects of the algorithms. The book includes an introduction to fuzzy logic and its application in the formulation of multi-objective optimization problems, a discussion on hybrid techniques that combine features of heuristics, a survey of recent research work, and examples that illustrate required mathematical concepts.\u003cbr\u003e \u003cbr\u003e The unique features of this book are: An integrated and up-to-date description of iterative non-deterministic algorithms; Detailed descriptions of Simulated Evolution and Stochastic Evolution; A level of treatment suitable for first year graduate student and practicing engineers; Parallelization aspects and particular parallel implementations; A brief survey of recent research work; Graded exercises and an annotated bibliography in each chapter\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePreface.\u003cbr\u003e \u003cbr\u003e 1. Introduction.\u003cbr\u003e \u003cbr\u003e 1.1 Combinatorial Optimization.\u003cbr\u003e \u003cbr\u003e 1.2 Optimization Methods.\u003cbr\u003e \u003cbr\u003e 1.3 States, Moves, and Optimality.\u003cbr\u003e \u003cbr\u003e 1.4 Local Search.\u003cbr\u003e \u003cbr\u003e 1.5 Optimal versus Final Solution.\u003cbr\u003e \u003cbr\u003e 1.6 Single versus Multicriteria Constrained Optimization.\u003cbr\u003e \u003cbr\u003e 1.7 Convergence Analysis of Iterative Algorithms.\u003cbr\u003e \u003cbr\u003e 1.8 Markov Chains.\u003cbr\u003e \u003cbr\u003e 1.9 Parallel Processing.\u003cbr\u003e \u003cbr\u003e 1.10 Summary and Organization of the Book.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e Exercises.\u003cbr\u003e \u003cbr\u003e 2. Simulated Annealing (SA).\u003cbr\u003e \u003cbr\u003e 2.1 Introduction.\u003cbr\u003e \u003cbr\u003e 2.2 Simulated Annealing Algorithm.\u003cbr\u003e \u003cbr\u003e 2.3 SA Convergence Aspects.\u003cbr\u003e \u003cbr\u003e 2.4 Parameters of the SA Algorithm.\u003cbr\u003e \u003cbr\u003e 2.5 SA Requirements.\u003cbr\u003e \u003cbr\u003e 2.6 SA Applications.\u003cbr\u003e \u003cbr\u003e 2.7 Parallelization of SA.\u003cbr\u003e \u003cbr\u003e 2.8 Conclusions and Recent Work.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e Exercises.\u003cbr\u003e \u003cbr\u003e 3. Genetic Algorithms (GAs).\u003cbr\u003e \u003cbr\u003e 3.1 Introduction.\u003cbr\u003e \u003cbr\u003e 3.2 Genetic Algorithm.\u003cbr\u003e \u003cbr\u003e 3.3 Schema Theorem and Implicit Parallelism.\u003cbr\u003e \u003cbr\u003e 3.4 GA Convergence Aspects.\u003cbr\u003e \u003cbr\u003e 3.5 GA in Practice.\u003cbr\u003e \u003cbr\u003e 3.6 Parameters of GAs.\u003cbr\u003e \u003cbr\u003e 3.7 Applications of GAs.\u003cbr\u003e \u003cbr\u003e 3.8 Parallelization of GA.\u003cbr\u003e \u003cbr\u003e 3.9 Other Issues and Recent Work.\u003cbr\u003e \u003cbr\u003e 3.10 Conclusions.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e Exercises.\u003cbr\u003e \u003cbr\u003e 4. Tabu Search (TS).\u003cbr\u003e \u003cbr\u003e 4.1 Introduction.\u003cbr\u003e \u003cbr\u003e 4.2 Tabu Search Algorithm.\u003cbr\u003e \u003cbr\u003e 4.3 Implementation-Related Issues.\u003cbr\u003e \u003cbr\u003e 4.4 Limitations of Short-Term Memory.\u003cbr\u003e \u003cbr\u003e 4.5 Examples of Diversifying Search.\u003cbr\u003e \u003cbr\u003e 4.6 TS Convergence Aspects.\u003cbr\u003e \u003cbr\u003e 4.7 TS Applications.\u003cbr\u003e \u003cbr\u003e 4.8 Parallelization of TS.\u003cbr\u003e \u003cbr\u003e 4.9 Other Issues and Related Work.\u003cbr\u003e \u003cbr\u003e 4.10 Conclusions.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e Exercises.\u003cbr\u003e \u003cbr\u003e 5. Simulated Evolution (SimE).\u003cbr\u003e \u003cbr\u003e 5.1 Introduction.\u003cbr\u003e \u003cbr\u003e 5.2 Historical Background.\u003cbr\u003e \u003cbr\u003e 5.3 Simulated Evolution Algorithm.\u003cbr\u003e \u003cbr\u003e 5.4 SimE Operators and Parameters.\u003cbr\u003e \u003cbr\u003e 5.5 Comparison of SimE, SA, and GA.\u003cbr\u003e \u003cbr\u003e 5.6 SimE Convergence Aspects.\u003cbr\u003e \u003cbr\u003e 5.7 SimE Applications.\u003cbr\u003e \u003cbr\u003e 5.8 Parallelization of SimE.\u003cbr\u003e \u003cbr\u003e 5.9 Conclusions and Recent Work.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e Exercises.\u003cbr\u003e \u003cbr\u003e 6. Stochastic Evolution (StocE).\u003cbr\u003e \u003cbr\u003e 6.1 Introduction.\u003cbr\u003e \u003cbr\u003e 6.2 Historical Background.\u003cbr\u003e \u003cbr\u003e 6.3 Stochastic Evolution Algorithm.\u003cbr\u003e \u003cbr\u003e 6.4 Stochastic Evolution Convergence Aspects.\u003cbr\u003e \u003cbr\u003e 6.5 Stochastic Evolution Applications.\u003cbr\u003e \u003cbr\u003e 6.6 Parallelization of Stochastic Evolution.\u003cbr\u003e \u003cbr\u003e 6.7 Conclusions and Recent Work.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e Exercises.\u003cbr\u003e \u003cbr\u003e 7. Hybrids and Other Issues.\u003cbr\u003e \u003cbr\u003e 7.1 Introduction.\u003cbr\u003e \u003cbr\u003e 7.2 Overview of Algorithms.\u003cbr\u003e \u003cbr\u003e 7.3 Hybridization.\u003cbr\u003e \u003cbr\u003e 7.4 GA and Multiobjective Optimization.\u003cbr\u003e \u003cbr\u003e 7.5 Fuzzy Logic for Multiobjective Optimization.\u003cbr\u003e \u003cbr\u003e 7.6 Artificial Neural Networks.\u003cbr\u003e \u003cbr\u003e 7.7 Quality of the Solution.\u003cbr\u003e \u003cbr\u003e 7.8 Conclusions.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e Exercises.\u003cbr\u003e \u003cbr\u003e About the Authors.\u003cbr\u003e \u003cbr\u003e Index.\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-IEEE Computer Society Pr","offers":[{"title":"Brand New","offer_id":52407345053976,"sku":"9780769501000","price":101.98,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9780769501000.jpg?v=1784163935","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/iterative-computer-algorithms-with-applications-in-engineering-solving-combinatorial-optimization-problems-paperback-softback-9780769501000","provider":"Freshly Printed Books","version":"1.0","type":"link"}