A response surface based sequential approximate optimization using constraint-shifting analogy

Pyokyoung Han; Jongsoo Lee

doi:10.1007/s12206-009-0806-5

A response surface based sequential approximate optimization using constraint-shifting analogy

Pyokyoung Han, Jongsoo Lee

Department of Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

When a traditional response surface method (RSM) is used as a meta-model for inequality constraint functions, an approximate optimal solution is sometimes actually infeasible in a case where it is active at the constraint boundary. The paper proposes a new RSM that ensures the constraint feasibility with respect to an approximate optimal solution. Constraint-shifting is suggested in order to secure the constraint feasibility during the sequential approximate optimization process. A central composite design is used as a tool for design of experiments. The proposed approach is verified through a mathematical function problem and engineering optimization problems to support the proposed strategies.

Original language	English
Pages (from-to)	2903-2912
Number of pages	10
Journal	Journal of Mechanical Science and Technology
Volume	23
Issue number	11
DOIs	https://doi.org/10.1007/s12206-009-0806-5
Publication status	Published - 2009 Nov

All Science Journal Classification (ASJC) codes

Mechanics of Materials
Mechanical Engineering

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A response surface based sequential approximate optimization using constraint-shifting analogy

Abstract

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