Genetic algorithm | Genetic representation, Genetic programming, Algorithmic efficiency, Global optimization, Evolutionary algorithm, Fitness function, Selection (genetic algorithm), Crossover (genetic algorithm)

Frederic P. Miller (u. a.)

ISBN 10: 6130211791 / ISBN 13: 9786130211790

Published by OmniScriptum, 2026

About this Item

Genetic algorithm | Genetic representation, Genetic programming, Algorithmic efficiency, Global optimization, Evolutionary algorithm, Fitness function, Selection (genetic algorithm), Crossover (genetic algorithm) | Frederic P. Miller (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130211790 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 134831455

Bibliographic Details

• Title: Genetic algorithm | Genetic representation, Genetic programming, Algorithmic efficiency, Global optimization, Evolutionary algorithm, Fitness function, Selection (genetic algorithm), Crossover (genetic algorithm)
• Publisher: OmniScriptum
• Publication Date: 2026
• Language: English
• ISBN 10: 6130211791
• ISBN 13: 9786130211790
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 119 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. A genetic algorithm (GA) is a search technique used in computing to find exact or approximate solutions to optimization and search problems. Genetic algorithms are categorized as global search heuristics. Genetic algorithms are a particular class of evolutionary algorithms (EA) that use techniques inspired by evolutionary biology such as inheritance, mutation, selection, and crossover.