menu
{ "item_title" : "Genetic Algorithms in Applications", "item_author" : [" Rustem Popa "], "item_description" : "Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - algorithms that search for solutions to optimization problems by evolving better and better solutions. Genetic Algorithms have been applied in science, engineering, business and social sciences. This book consists of 16 chapters organized into five sections. The first section deals with some applications in automatic control, the second section contains several applications in scheduling of resources, and the third section introduces some applications in electrical and electronics engineering. The next section illustrates some examples of character recognition and multi-criteria classification, and the last one deals with trading systems. These evolutionary techniques may be useful to engineers and scientists in various fields of specialization, who need some optimization techniques in their work and who may be using Genetic Algorithms in their applications for the first time. These applications may be useful to many other people who are getting familiar with the subject of Genetic Algorithms.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/53/510/400/9535104004_b.jpg", "price_data" : { "retail_price" : "179.00", "online_price" : "179.00", "our_price" : "179.00", "club_price" : "179.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Genetic Algorithms in Applications|Rustem Popa

Genetic Algorithms in Applications

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - algorithms that search for solutions to optimization problems by "evolving" better and better solutions. Genetic Algorithms have been applied in science, engineering, business and social sciences. This book consists of 16 chapters organized into five sections. The first section deals with some applications in automatic control, the second section contains several applications in scheduling of resources, and the third section introduces some applications in electrical and electronics engineering. The next section illustrates some examples of character recognition and multi-criteria classification, and the last one deals with trading systems. These evolutionary techniques may be useful to engineers and scientists in various fields of specialization, who need some optimization techniques in their work and who may be using Genetic Algorithms in their applications for the first time. These applications may be useful to many other people who are getting familiar with the subject of Genetic Algorithms.

This item is Non-Returnable

Details

  • ISBN-13: 9789535104001
  • ISBN-10: 9535104004
  • Publisher: Intechopen
  • Publish Date: March 2012
  • Dimensions: 9.61 x 6.69 x 0.75 inches
  • Shipping Weight: 1.6 pounds
  • Page Count: 332

Related Categories

You May Also Like...

    1

BAM Customer Reviews