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An Introduction to Metaheuristics for Optimization

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	An Introduction to Metaheuristics for Optimization/ by Bastien Chopard, Marco Tomassini.
作者:	Chopard, Bastien.
其他作者:	Tomassini, Marco.
面頁冊數:	XII, 226 p. 44 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial intelligence. -
電子資源:	https://doi.org/10.1007/978-3-319-93073-2
ISBN:	9783319930732

An Introduction to Metaheuristics for Optimization
Chopard, Bastien.

An Introduction to Metaheuristics for Optimization[electronic resource] /by Bastien Chopard, Marco Tomassini. - 1st ed. 2018. - XII, 226 p. 44 illus. in color.online resource. - Natural Computing Series,1619-7127. - Natural Computing Series,.

Problems, Algorithms, Computational Complexity -- Search Space -- Tabu Search -- Simulated Annealing -- Ant Colony Optimization (ACO) -- Non-PSO Optimization -- Firefly Algorithm, Cuckoo Algorithm, Lévy Flights -- Evolutionary Algorithms: Foundations -- Evolutionary Algorithms: Advanced -- Phase Transition in Optimization Problems -- Performance and Limitations of Metaheuristics -- Statistical Analysis of Research Spaces.

The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems. The authors are experienced, interdisciplinary lecturers and researchers and in their explanations they demonstrate many shared foundational concepts among the key methodologies. This textbook is a suitable introduction for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics.

ISBN: 9783319930732

Standard No.: 10.1007/978-3-319-93073-2doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

An Introduction to Metaheuristics for Optimization
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