Genetic algorithms in search, optimization, and machine learning
Генетические алгоритмы в поиске, оптимизации и машинном обучении
1989-10-01
SCID: 54.1/ratkzbbd
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Pascal programsgenetic algorithmsmachine learningsearch and optimizationtutorial and examples
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Abstract (AI)
From the Publisher:
This book brings together - in an informal and tutorial fashion - the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Major concepts are illustrated with running examples, and major algorithms are illustrated by Pascal computer programs. No prior knowledge of GAs or genetics is assumed, and only a minimum of computer programming and mathematics background is required.
Key Findings
1
It provides informal, tutorial-style explanations combining computer techniques, mathematical tools, and research results to enable application of GAs.
2
Major concepts and algorithms are illustrated with running examples and Pascal programs to facilitate hands-on learning.
3
No prior knowledge of genetics or GAs is required; only minimal programming and mathematics background is needed, lowering the barrier to entry.
4
The book presents genetic algorithms (GAs) as practical techniques for search, optimization, and machine learning across many fields.
Research Object
Genetic algorithms as applied computational methods
Research Subject
Their use for search, optimization, and machine learning problems including illustrative algorithms, techniques, and example applications
Publication Details
Publication Date
1989-10-01
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