Asynchronous parallel generating set search for linearly-constrained optimization.
Author(s) -
Robert M. Lewis,
Joshua Griffin,
Tamara G. Kolda
Publication year - 2006
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/891372
Subject(s) - asynchronous communication , set (abstract data type) , computer science , software , algorithm , theoretical computer science , mathematical optimization , mathematics , programming language , computer network
Generating set search (GSS) is a family of direct search methods that encompasses generalized pattern search and related methods. We describe an algorithm for asynchronous linearly-constrained GSS, which has some complexities that make it different from both the asynchronous bound-constrained case as well as the synchronous linearly-constrained case. The algorithm has been implemented in the APPSPACK software framework and we present results from an extensive numerical study using CUTEr test problems. We discuss the results, both positive and negative, and conclude that GSS is a reliable method for solving small-to-medium sized linearly-constrained optimization problems without derivatives
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