Optimization Algorithms - Classics and Recent Advances

Optimization Algorithms - Classics and Last Advances is devoted to developing algorithm theory and exploring the use of different optimization algorithms for solving various problems in pure science, applied physics, and information technology. The book consists of two sections. The first focuses on developing abstract algorithms with subsequent applications to real-world optimization probl...

Optimization Algorithms - Classics and Last Advances is devoted to developing algorithm theory and exploring the use of different optimization algorithms for solving various problems in pure science, applied physics, and information technology. The book consists of two sections. The first focuses on developing abstract algorithms with subsequent applications to real-world optimization problems. It discusses optimization problems based on partial differential equations, canonical polyadic decomposition, variational approach, and ant colony optimization, which are discussed here. The second section presents problems related to optimization in information technologies. Chapters in this section address the utilization of optimization algorithms to solve problems of reducing computation time and computer memory, reducing kernel mechanism processing time in multimedia authoring tools, arranging access optimization for special applications, and minimizing resources for solving vehicle routing problems.

Order Print Copy Recommend to Your Library

Your name

Your email address

Your Library’s email address

Department

Institution/Company

Loading...

Country

Loading...

Message of recommendation Dear Librarian, I would like to recommend the following IntechOpen book to be added to our library catalog: TITLE: 'Optimization Algorithms - Classics and Recent Advances' PRINT ISBN: 978-1-83769-180-7 Libraries are offered a 20% discount on retail book prices. For a quote, please contact the IntechOpen Print Sales Department directly at orders@intechopen.com Best regards.

I recommend this publication for the following reasons

Loading...

By submitting the form you agree to IntechOpen using your personal information in order to fulfil your library recommendation. In line with our privacy policy we won’t share your details with any third parties and will discard any personal information provided immediately after the recommended institution details are received. For further information on how we protect and process your personal information, please refer to our privacy policy.

Submit