23%OFF

Stock image for illustration purposes only - book cover, edition or condition may vary.
Advances in Evolutionary Algorithms Research
Gregor Papa
€ 232.10
€ 179.05
FREE Delivery in Ireland
Description for Advances in Evolutionary Algorithms Research
Hardback. Num Pages: 117 pages. BIC Classification: JFSC. Category: (P) Professional & Vocational. Dimension: 214 x 264 x 15. Weight in Grams: 474.
The field of evolutionary algorithms produces various theoretical approaches that help search for global optima within complex environments. These environments are often highly multidimensional, non-linear, noisy, and with many constraints. Not only one, but frequently several, even conflicting, objectives need to be met while searching for the optimal solutions. This book presents advances in the research and applications of evolutionary algorithms. There is a rich history of theoretical research and practical solutions in this field. Namely, evolutionary algorithms, with their intrinsic parallelism, have proved to be successful in a variety of problem domains in science, engineering and business. According to the no-free lunch theorem for optimisation no super algorithm exists for all optimisation problems. Therefore, the advances in this research field are also devoted to the identification of combination of problem classes and effective optimisation methods, as well as the innovative and hybrid implementations of the algorithms. This book consists of seven chapters covering the survey and theory on multimodal, multi-memetic and multi-objective properties and algorithm performance. Furthermore, the algorithms are applied to real-world mechanical, biological, and chemical problems, as well as to theoretical benchmarks.
Product Details
Format
Hardback
Publication date
2015
Publisher
Nova Science Publishers Inc
Condition
New
Number of Pages
117
Place of Publication
New York, United States
ISBN
9781634638494
SKU
V9781634638494
Shipping Time
Usually ships in 5 to 9 working days
Ref
99-2
About Gregor Papa
Gregor Papa received the Ph.D. degree in Electrical Engineering from the University of Ljubljana, Slovenia in 2002. He is a Researcher at the Computer Systems department, Joef Stefan Institute, Ljubljana, Slovenia, since 1997. His research interests include optimization techniques, metaheuristic algorithms, and hardware implementations of high-complexity algorithms. He is also an Assistant Professor at the Joef Stefan International Postgraduate School, Ljubljana, Slovenia. He is giving lectures on graduate courses Hardware/Software Codesign and Computer Structures and Systems. His research work is published in international journals and conference proceedings. He co-organized several important international scientific conferences related to bio-inspired computation. He led and participated in national and European projects, and is actively involved in European research projects. He is a member of the IEEE and ACM.
Reviews for Advances in Evolutionary Algorithms Research