Modern search optimization algorithms. Algorithms inspired by nature
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The textbook is devoted mainly to the consideration of modern stochastic population algorithms to solve a single -criterial optimization problem. Methods of increasing the efficiency of these algorithms are considered by hybridization and metaoptimization. Along with single -criterial, the task of multicriterial optimization and the population algorithms for solving it are considered. Methods of parallelization of these algorithms are presented. Contains a large number of examples of solving test and almost significant optimization problems.
. For students of higher educational institutions students in the direction of 230100 "Informatics and computer technology". It can be useful for all students studying the course "Optimization Methods" and courses close in the subject. The material of the manual is also of interest for graduate students and specialists using methods, algorithms and optimization programs in their work
. For students of higher educational institutions students in the direction of 230100 "Informatics and computer technology". It can be useful for all students studying the course "Optimization Methods" and courses close in the subject. The material of the manual is also of interest for graduate students and specialists using methods, algorithms and optimization programs in their work
Author:
Author:Карпенко А.П.
Cover:
Cover:Hard
Category:
- Category:Arts & Photography
Publication language:
Publication Language:Russian
Paper:
Paper:Offset
Age restrictions:
Age restrictions:12+
ISBN:
ISBN:978-5-7038-5563-8
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