Non-Convex Optimization

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 23 Mar 1986Publisher:SPIEJournal:SPIE Proceedings, volume 698, page 59 (issn: 0277-786X,

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Authors: Harold H. Szu;

doi: 10.1117/12.976247

Non-Convex Optimization

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Abstract

A stochastic search technique called simulated annealing can solve a class of problems termed non-convex optimization by seeking the lowest minimum of a multi-minima function. Simulated annealing is a generalized Monte Carlo technique with a continuously decreasing variance controlled by the temperature parameter.

Related Organizations

Naval Research Laboratory Optical Sciences Division
United States
United States Naval Research Laboratory
United States

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