00000cmm a22000004i 4500 UP-99796217611211842 Buklod 20140423091420.0 m go j cr |n |||auu|a 110726s2011 xx u eng d 9783642217050 (eBook) 3642217052 (eBook) (iLib)UPD-00214607968 DLC DML eng DMLUC QA 402.5 I58 2011eb Intelligent computational optimization in engineering [electronic resource] techniques and applications Mario Köppen, Gerald Schaefer, Ajith Abraham (Eds.). Berlin Heidelberg Springer 2011. 1 online resource (xii, 396 p.) Part I Frameworks -- Part II Algorithm Integration -- Part III Applications. IP-based subscription, access limited to within on-campus computer network. Access via Electronic Resources of the UPD University Library Website. We often come across computational optimization virtually in all branches of engineering and industry. Many engineering problems involve heuristic search and optimization, and, once discretized, may become combinatorial in nature, which gives rise to certain difficulties in terms of solution procedure. Some of these problems have enormous search spaces, are NP-hard and hence require heuristic solution techniques. Another difficulty is the lack of ability of classical solution techniques to determine appropriate optima of non-convex problems. Under these conditions, recent advances in computational optimization techniques have been shown to be advantageous and successful compared to classical approaches. This Volume presents some of the latest developments with a focus on the design of algorithms for computational optimization and their applications in practice. Through the chapters of this book, researchers and practitioners share their experience and newest methodologies with regard to intelligent optimization and provide various case studies of the application of intelligent optimization techniques in real-world applications.This book can serve as an excellent reference for researchers and graduate students in computer science, various engineering disciplines and the industry. Electronic reproduction. New York SpringerLink 2011. Available via World Wide Web through SpringerLink. Electronic books. Mathematical optimization. Artificial intelligence Engineering applications. Köppen, Mario. Schaefer, Gerald. Abraham, Ajith. SpringerLink (Online service). Available for University of the Philippines Diliman via SpringerLink. Click here to access http://link.springer.com/book/10.1007/978-3-642-21705-0 FO Monograph UPD DMLR Electronic Resource