On Global Minimization in Mathematical Modelling of Engineering Applications

Raimondas Čiegis ()
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Raimondas Čiegis: Vilnius Gediminas Technical University

A chapter in Models and Algorithms for Global Optimization, 2007, pp 299-310 from Springer

Abstract: Abstract Many problems in engineering, physics, economic and other subjects may be formulated as optimization problems, where the minimum value of an objective function should be found. Mathematically the problem is formulated as follows (1) $$ f* = \mathop {\min }\limits_{X \in D} f(X), $$ where f(X) is an objective function, X are decision variables, and D is a search space. Besides of the minimum f*, one or all minimizers X* : f (X*) = f* should be found.

Keywords: Trial Point; Local Optimization Method; Separate Beam; Pile Raft Foundation; Global Minimum Solution (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-0-387-36721-7_18

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DOI: 10.1007/978-0-387-36721-7_18

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