Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence (Natural Computing Series)

Buy
Genetic algorithms (GAs) are randomized search and optimization techniques guided by the principles of evolution and natural genetics; they have a large amount of implicit parallelism. GAs perform multimodal search in complex landscapes and provide near-optimal solutions for objective or tness func tion of an optimization problem. They have applications in elds as diverse as pattern recognition, image processing, neural networks, machine learning, jobshop scheduling and VLSI design, to mention just a few.

Traditionally, GAs were designed to solve problems with an objective to optimize only a single criterion. However, many real-life problems involve mul tiple conicting measures of performance, or objectives, which need simulta neous optimization. Optimal performance according to one objective, if such an optimum exists, often implies unacceptably low performance in one or more of the other objective dimensions, creating the need for a compromise to be reached. A suitable set of solutions, called the Pareto-optimal set, to such problems is one where none of the solutions can be further improved on any one objective without degrading it in another. In recent times, there has been a spurt of activities in exploiting the signi cantly powerful search capa bility of GAs for multiobjective optimization, leading to the development of several algorithms belonging to the class of multiobjective genetic algorithms (MOGAs).
(HTML tags aren't allowed.)

Sampling Algorithms (Springer Series in Statistics)
Sampling Algorithms (Springer Series in Statistics)
This book is based upon courses on sampling algorithms. After having used scattered notes for several years, I have decided to completely rewrite the material in a consistent way. The books of Brewer and Hanif (1983) and H´ajek (1981) have been my works of reference. Brewer and Hanif (1983) have drawn up an...
Internet of Things and Data Analytics Handbook
Internet of Things and Data Analytics Handbook

This book examines the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view.

Internet of Things and Data Analytics Handbook describes essential technical knowledge, building blocks, processes, design principles, implementation, and marketing...

Bandwidth Efficient Coding (IEEE Series on Digital & Mobile Communication)
Bandwidth Efficient Coding (IEEE Series on Digital & Mobile Communication)

This book addresses coding, a new solution to the major challenge of communicating more bits of information in the same radio spectrum.

  • Explores concepts and new transmission methods that have arisen in the last 15 years
  • Discusses the method of faster than Nyquist signaling
  • ...

How to Make a Robot
How to Make a Robot

Learn the basics of modern robotics while building your own intelligent robot from scratch! You'll use inexpensive household materials to make the base for your robot, then add motors, power, wheels, and electronics.

But wait, it gets better: your creation is actually five robots in one! -- build
...

Practical Data Wrangling: Expert techniques for transforming your raw data into a valuable source for analytics
Practical Data Wrangling: Expert techniques for transforming your raw data into a valuable source for analytics

Key Features

  • This easy-to-follow guide takes you through every step of the data wrangling process in the best possible way
  • Work with different types of datasets, and reshape the layout of your data to make it easier for analysis
  • Get simple examples and real-life data...
Implementing Cybersecurity: A Guide to the National Institute of Standards and Technology Risk Management Framework (Internal Audit and IT Audit)
Implementing Cybersecurity: A Guide to the National Institute of Standards and Technology Risk Management Framework (Internal Audit and IT Audit)

The book provides the complete strategic understanding requisite to allow a person to create and use the RMF process recommendations for risk management. This will be the case both for applications of the RMF in corporate training situations, as well as for any individual who wants to obtain specialized knowledge in organizational...

©2018 LearnIT (support@pdfchm.net) - Privacy Policy