Login       My Wishlist
  My Cart
$0.00 / 0 items
 
EMS Linux
Utilizing the Best Tools With Linux
 
International Access
Global Shipping Options Available
Home About Us News Our Blog Our Catalog My Cart My Account Track Shippment Contact Us
  Our Catalog   Algorithms   Genetic

OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems (Genetic Algorithms and Evolutionary Computation)


Mega Sale! Save 24% on the OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems (Genetic Algorithms and Evolutionary Computation) by Springer at EMS Linux. Hurry! Limited time offer. Offer valid only while supplies last. OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems addresses two increasingly important areas in GA implementation


Product Description

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.

Additional Information

Manufacturer:Springer
Brand:Springer
Publisher:Springer
Studio:Springer
EAN:9780792374602
Item Weight:0.94 pounds
Item Size:0.5 x 9.21 x 9.21 inches
Package Weight:0.95 pounds
Package Size:6.1 x 0.6 x 0.6 inches

OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems (Genetic Algorithms and Evolutionary Computation) by Springer

Buy Now:
OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems (Genetic Algorithms and Evolutionary Computation)

Brand: Springer
4.8 out of 5 stars with 32 reviews
Condition: New
Lead Time: 1 - 2 Business Days
Availability: In Stock
$199.00
$152.77
You Save: 23%


Quantity:  

 


View More In Genetic.

 


Have questions about this item, or would like to inquire about a custom or bulk order?


If you have any questions about this product by Springer, contact us by completing and submitting the form below. If you are looking for a specif part number, please include it with your message.

First Name:
Last Last:
Email Address:
Your Message:

Related Best Sellers


ean: 9780792381358, isbn: 0792381351,
Computers that `program themselves' has long been an aim of computer scientists. Recently genetic programming (GP) has started to show its promise by automatically evolving programs. Indeed in a small number of problems GP has evolved programs whose ...

ean: 9780849308659, isbn: 0849308658,
From the explosion of interest, research, and applications of evolutionary computation a new field emerges-evolutionary electronics. Focused on applying evolutionary computation concepts and techniques to the domain of electronics, many researchers n...

ean: 9781420076233, isbn: 142007623X,
An Easy-to-Use Research Tool for Algorithm Testing and Development Before the SeqAn project, there was clearly a lack of available implementations in sequence analysis, even for standard tasks. Implementations of needed algorithmic components were ei...

ean: 9781584882404, isbn: 1584882409,
Rapid developments in the field of genetic algorithms along with the popularity of the first edition precipitated this completely revised, thoroughly updated second edition of The Practical Handbook of Genetic Algorithms. Like its predecessor, this e...

ean: 9783319342214, isbn: 3319342215,
These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of...

mpn: 87 black & white illustrations, biograph, ean: 9783540496069, isbn: 3540496068,
This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It examines how a search technique, the genetic algorithm, can be used for pattern classification mainly throug...

mpn: biography, ean: 9783540889076, isbn: 3540889078,
Multiobjective optimization deals with solving problems having not only one, but multiple, often conflicting, criteria. Such problems can arise in practically every field of science, engineering and business, and the need for efficient and reliable s...

ean: 9780792376019, isbn: 0792376013,
After a decade of development, genetic algorithms and genetic programming have become a widely accepted toolkit for computational finance. Genetic Algorithms and Genetic Programming in Computational Finance is a pioneering volume devoted entirely to ...

mpn: 61 black & white tables, biography, ean: 9783540620211, isbn: 3540620214,
Evolutionary algorithms are general-purpose search procedures based on the mechanisms of natural selection and population genetics. They are appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with appli...

ean: 9780471971504, isbn: 0471971502,
A reader-friendly introduction to the exciting, vast potential of Genetic Algorithms. The book gives readers a general understanding of the concepts underlying the technology, an insight into its perceived benefits and failings, and a clear and prac...



Privacy Policy / Terms of Service
© 2018 - emslinux.com. All Rights Reserved.