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.)

The Art of R Programming: A Tour of Statistical Software Design
The Art of R Programming: A Tour of Statistical Software Design

R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.

...

Introduction to the Design and Analysis of Algorithms (3rd Edition)
Introduction to the Design and Analysis of Algorithms (3rd Edition)
Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, Introduction to the Design and Analysis of Algorithms presents the subject in a coherent and innovative manner. Written in a student-friendly style, the book emphasizes the understanding of ideas over excessively formal...
Object Oriented Programming With C++
Object Oriented Programming With C++

The book aims at providing an all-round enrichment of knowledge in the area of object-oriented programming with C++ as the implementation of language. The author has used simple language to explain critical concepts of object-oriented programming and for...


Bayesian Networks in R: with Applications in Systems Biology (Use R!)
Bayesian Networks in R: with Applications in Systems Biology (Use R!)
While there have been significant advances in capturing data from the entities across complex real-world systems, their associations and relationships are largely unknown. Associations between the entities may reveal interesting system-level properties that may not be apparent otherwise. Often these associations are hypothesized...
Programming Ruby 1.9 & 2.0: The Pragmatic Programmers' Guide (The Facets of Ruby)
Programming Ruby 1.9 & 2.0: The Pragmatic Programmers' Guide (The Facets of Ruby)

Ruby is the fastest growing and most exciting dynamic language out there. If you need to get working programs delivered fast, you should add Ruby to your toolbox.

This book is the only complete reference for both Ruby 1.9 and Ruby 2.0, the very latest version of Ruby.

2013 marks the 20th
...

Probability: With Applications and R
Probability: With Applications and R

An introduction to probability at the undergraduate level

Chance and randomness are encountered on a daily basis. Authored by a highly qualified professor in the field, Probability: With Applications and R delves into the theories and applications essential to obtaining a thorough understanding of probability.

...
©2019 LearnIT (support@pdfchm.net) - Privacy Policy