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Applied Evolutionary Algorithms in Java
Robert Ghanea-Hercock
€ 123.07
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Description for Applied Evolutionary Algorithms in Java
Hardcover.
Genetic algorithms provide a powerful range of methods for solving complex engineering search and optimization algorithms. Their power can also lead to difficulty for new researchers and students who wish to apply such evolution-based methods. Applied Evolutionary Algorithms in JAVA offers a practical, hands-on guide to applying such algorithms to engineering and scientific problems. The concepts are illustrated through clear examples, ranging from simple to more complex problems domains; all based on real-world industrial problems. Examples are taken from image processing, fuzzy-logic control systems, mobile robots, and telecommunication network optimization problems. The JAVA-based toolkit provides an easy-to-use and essential visual ... Read more
Genetic algorithms provide a powerful range of methods for solving complex engineering search and optimization algorithms. Their power can also lead to difficulty for new researchers and students who wish to apply such evolution-based methods. Applied Evolutionary Algorithms in JAVA offers a practical, hands-on guide to applying such algorithms to engineering and scientific problems. The concepts are illustrated through clear examples, ranging from simple to more complex problems domains; all based on real-world industrial problems. Examples are taken from image processing, fuzzy-logic control systems, mobile robots, and telecommunication network optimization problems. The JAVA-based toolkit provides an easy-to-use and essential visual ... Read more
Product Details
Format
Hardback
Publication date
2003
Publisher
Springer
Condition
New
Number of Pages
219
Place of Publication
New York, NY, United States
ISBN
9780387955681
SKU
V9780387955681
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Applied Evolutionary Algorithms in Java
From the reviews: "The book of Ghaenea Hercock gives a good overview of many artificial intelligence approaches, developed in the course of the years. … Students and computer scientists, who look for an overview of evolutionary algorithms, will receive a well readable composition of the most important procedures." (W. Brecht, Zentralblatt MATH, Vol.1041 (16), 2004) "This succinct volume ... Read more