Efficient and Accurate Parallel Genetic Algorithms by Erick Cant?-Paz (English)

Description: Efficient and Accurate Parallel Genetic Algorithms by Erick CantÚ-Paz Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description As genetic algorithms (GAs) become increasingly popular, they are applied to difficult problems that may require considerable computations. Efficient and Accurate Parallel Genetic Algorithms is about the design of parallel GAs. Publisher Description As genetic algorithms (GAs) become increasingly popular, they are applied to difficult problems that may require considerable computations. In such cases, parallel implementations of GAs become necessary to reach high-quality solutions in reasonable times. But, even though their mechanics are simple, parallel GAs are complex non-linear algorithms that are controlled by many parameters, which are not well understood. This text is about the design of parallel GAs. It presents theoretical developments that improve our understanding of the effect of the algorithms parameters on its search for quality and efficiency. These developments are used to formulate guidelines on how to choose the parameter values that minimize the execution time while consistently reaching solutions of high quality. The book can be read in several ways, depending on the readers interests and their previous knowledge about these algorithms. Newcomers to the field should find the background material in each chapter useful to become acquainted with previous work, and to understand the problems that must be faced to design efficient and reliable algorithms.Potential users of parallel GAs that may have doubts about their practicality or reliability may be more confident after reading this book and understanding the algorithms better. Those who are ready to try a parallel GA on their applications may choose to skim through the background material, and use the results directly without following the derivations in detail. These readers will find that using the results can help them to choose the type of parallel GA that best suits their needs, without having to invest the time to implement and test various options. Once that is settled, even the most experienced users dread the long and frustrating experience of configuring their algorithms by trial and error. The guidelines contained herein should shorten dramatically the time spent tweaking the algorithm, although some experimentation may still be needed for fine-tuning. The text should be suitable as a secondary text for a graduate level Details ISBN 0792372212 ISBN-13 9780792372219 Title Efficient and Accurate Parallel Genetic Algorithms Author Erick CantÚ-Paz Format Hardcover Year 2000 Pages 162 Edition 2001st Publisher Springer GE_Item_ID:137566651; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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End Time: 2024-09-24T02:23:36.000Z

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