Author: Dimitri Knjazew
Publisher: Springer Science & Business Media
ISBN: 146150807X
Size: 65.18 MB
Format: PDF, ePub, Docs
View: 3413
OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems addresses two increasingly important areas in GA implementation and practice. OmeGA, or the ordering messy genetic algorithm, combines some of the latest in competent GA technology to solve scheduling and other permutation problems. Competent GAs are those designed for principled solutions of hard problems, quickly, reliably, and accurately. Permutation and scheduling problems are difficult combinatorial optimization problems with commercial import across a variety of industries. This book approaches both subjects systematically and clearly. The first part of the book presents the clearest description of messy GAs written to date along with an innovative adaptation of the method to ordering problems. The second part of the book investigates the algorithm on boundedly difficult test functions, showing principled scale up as problems become harder and longer. Finally, the book applies the algorithm to a test function drawn from the literature of scheduling.

Handbook Of Nature Inspired And Innovative Computing

Author: Albert Y. Zomaya
Publisher: Springer Science & Business Media
ISBN: 9780387405322
Size: 40.45 MB
Format: PDF, Mobi
View: 4927
As computing devices proliferate, demand increases for an understanding of emerging computing paradigms and models based on natural phenomena. Neural networks, evolution-based models, quantum computing, and DNA-based computing and simulations are all a necessary part of modern computing analysis and systems development. Vast literature exists on these new paradigms and their implications for a wide array of applications. This comprehensive handbook, the first of its kind to address the connection between nature-inspired and traditional computational paradigms, is a repository of case studies dealing with different problems in computing and solutions to these problems based on nature-inspired paradigms. The "Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies" is an essential compilation of models, methods, and algorithms for researchers, professionals, and advanced-level students working in all areas of computer science, IT, biocomputing, and network engineering.

Credit Ratings

Author: Michael K. Ong
ISBN: 9781899332694
Size: 71.97 MB
Format: PDF, ePub
View: 2074
The only title that combines discussion and analysis on the methodologies employed by the major rating agencies together with those actually implemented internally by credit practitioners from financial institutions.

Practical Genetic Algorithms

Author: Randy L. Haupt
Publisher: Wiley-Interscience
ISBN: 9780471455653
Size: 66.50 MB
Format: PDF
View: 6115
* This book deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and science * Most significant update to the second edition is the MATLAB codes that accompany the text * Provides a thorough discussion of hybrid genetic algorithms * Features more examples than first edition

Intelligent Information Processing And Web Mining

Author: Mieczyslaw A. Klopotek
Publisher: Springer Science & Business Media
ISBN: 3540335218
Size: 68.31 MB
Format: PDF, Mobi
View: 6407
This volume contains selected papers, presented at the international conference on Intelligent Information Processing and Web Mining Conference IIS:IIPWM'06, organized in Ustro (Poland), 2006. The submitted papers cover new computing paradigms, among others in biologically motivated methods, advanced data analysis, new machine learning paradigms, natural language processing, new optimization technologies, applied data mining using statistical and non-standard approaches.