Genetic Algorithms and Engineering Optimization
Mitsuo Gen
€ 206.97
FREE Delivery in Ireland
Description for Genetic Algorithms and Engineering Optimization
Hardcover. Genetic algorithms are probabilistic search techniques based on the principles of biological evolution. As a biological organism evolves to more fully adapt to its environment, a genetic algorithm follows a path of analysis from which a design evolves, one that is optimal for the environmental constraints placed upon it. Series: Engineering Design and Automation. Num Pages: 512 pages, Ill. BIC Classification: TCBG; TGPC. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 164 x 242 x 35. Weight in Grams: 884.
A comprehensive guide to a powerful new analytical tool by two of its foremost innovators
The past decade has witnessed many exciting advances in the use of genetic algorithms (GAs) to solve optimization problems in everything from product design to scheduling and client/server networking. Aided by GAs, analysts and designers now routinely evolve solutions to complex combinatorial and multiobjective optimization problems with an ease and rapidity unthinkable withconventional methods. Despite the continued growth and refinement of this powerful analytical tool, there continues to be a lack of up-to-date guides to contemporary GA optimization principles and practices. Written ... Read more
A comprehensive guide to a powerful new analytical tool by two of its foremost innovators
The past decade has witnessed many exciting advances in the use of genetic algorithms (GAs) to solve optimization problems in everything from product design to scheduling and client/server networking. Aided by GAs, analysts and designers now routinely evolve solutions to complex combinatorial and multiobjective optimization problems with an ease and rapidity unthinkable withconventional methods. Despite the continued growth and refinement of this powerful analytical tool, there continues to be a lack of up-to-date guides to contemporary GA optimization principles and practices. Written ... Read more
Product Details
Format
Hardback
Publication date
1999
Publisher
John Wiley and Sons Ltd United States
Number of pages
512
Condition
New
Series
Engineering Design and Automation
Number of Pages
512
Place of Publication
, United States
ISBN
9780471315315
SKU
V9780471315315
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Mitsuo Gen
MITSUO GEN, PhD, is a professor in the Department of Industrial and Information Systems Engineering at the Ashikaga Institute of Technology in Ashikaga, Japan. RUNWEI CHENG, PhD, is an associate professor in the Institute of Systems Engineering at Northeastern University in Shenyang, China.
Reviews for Genetic Algorithms and Engineering Optimization