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Derivative-Free Optimization Via Evolutionary Algorithms Guiding Local Search

Griffin, J. D. and Fowler, K. R. and Gray, G. A. and Hemker, Thomas and Parno, M. D. (2011):
Derivative-Free Optimization Via Evolutionary Algorithms Guiding Local Search.
In: Pacific Journal of Optimization, p. 425, 7, (3), [Article]

Abstract

In this paper, we describe the technical details of HOPSPACK (Hybrid Optimization Parallel Search Package), a new software platform which facilitates combining multiple optimization routines into a single, tightly-coupled, hybrid algorithm that supports parallel function evaluations. The framework is designed such that existing optimization source code can be easily incorporated with minimal code modification. By maintaining the integrity of each individual solver, the strengths and code sophistication of the original optimization package are retained and exploited.

Item Type: Article
Erschienen: 2011
Creators: Griffin, J. D. and Fowler, K. R. and Gray, G. A. and Hemker, Thomas and Parno, M. D.
Title: Derivative-Free Optimization Via Evolutionary Algorithms Guiding Local Search
Language: German
Abstract:

In this paper, we describe the technical details of HOPSPACK (Hybrid Optimization Parallel Search Package), a new software platform which facilitates combining multiple optimization routines into a single, tightly-coupled, hybrid algorithm that supports parallel function evaluations. The framework is designed such that existing optimization source code can be easily incorporated with minimal code modification. By maintaining the integrity of each individual solver, the strengths and code sophistication of the original optimization package are retained and exploited.

Journal or Publication Title: Pacific Journal of Optimization
Volume: 7
Number: 3
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Simulation, Systems Optimization and Robotics Group
Date Deposited: 20 Jun 2016 23:26
Identification Number: griffin2011
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