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DOE OSTI · 23042653

Penalty-free method for multi-constrained optimization problems based on parallel simulated annealing

Kropaczek, David J.
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Abstract

A method is presented for addressing constraints within the context of large-scale combinatorial optimization problems. The method, based on constraint annealing, eliminates the use of traditional constraint penalty factors by treating each constraint as separate and concurrently solved minimization problems within a global optimization search framework. Results are demonstrated for a core loading pattern optimization problem. (authors)

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97 MATHEMATICS AND COMPUTINGANNEALINGCHARGESCOMPUTERIZED SIMULATIONLIMITING VALUESLOADINGMINIMIZATION

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Kropaczek, David J.. 2016-07-01. Penalty-free method for multi-constrained optimization problems based on parallel simulated annealing. https://www.osti.gov/biblio/23042653

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