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Applied multi-objective optimization

Dey, Nilanjan(Edited by)
Part of the Springer Tracts in Nature-Inspired Computing series
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The book explains basic ideas behind several kinds of applied multi-objective optimization and shows how it will be applied in practical contexts in the domain of healthcare, engineering design, and manufacturing.

The book discusses how meta-heuristic algorithms are successful in resolving challenging, multi-objective optimization issues in various disciplines, including engineering, economics, medical and environmental management.

The topic is useful for graduates, researchers and lecturers in optimization, engineering, management science and computer science. 

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Product Details
SPRINGER NATURE
9819703522 / 9789819703524
Hardback
519.6
17/03/2024
Singapore
English
170 pages : illustrations (black and white, and colour)
24 cm