Global Optimization Based on Weighting-Integral Expected Improvement

Zheng Li; Xi Cheng Wang

doi:10.4028/www.scientific.net/AMR.630.383

Paper Titles

Modeling of a Rear-End Crash Pulse Generator
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Application of Least-Squares Support Vector Regression with PSO for CPU Performance Forecasting
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The Simulation and Experiment Study of the Steering Qualities of the Shovel Loader with Four Tracks
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Approach of Combination of Weighted Evidence Based on Evidential Closeness Degree and its Application
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Global Optimization Based on Weighting-Integral Expected Improvement
p.383

Research on the Compensation Method of Installation Errors in Guideway Straightness Measurement with PSD
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Robust Reliable Control for a Class of Uncertain Discrete-Time Systems with Multiple Time-Varying Delays
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Analyzing the Influence of Rigid Foundation on Seismic Response of Cable-Stayed Bridge Pylon
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Study on Blood Compatibility of a Central Venous Catheter and its Pyrogen Test
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 630Global Optimization Based on Weighting-Integral...

Global Optimization Based on Weighting-Integral Expected Improvement

Abstract:

Balancing the global exploration and the local exploitation has received particular attention in global optimization algorithm. In this paper, based on Kriging model an infill sample criteria named weighting-integral expected improvement is proposed, which provides a high flexibility to balance the scope of search. Coupled with this infill sample criteria, a strategy is proposed that on each iteration step, the infill sample point was selected by the urgency of each search scope. Two mathematical functions and one engineering problem are used to test this method. The numerical experiments show that this method has excellent efficiency in finding global optimum solutions.

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Periodical:

Advanced Materials Research (Volume 630)

Pages:

383-388

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.630.383

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Online since:

December 2012

Authors:

Zheng Li, Xi Cheng Wang

Keywords:

EGO, Injection Molding, Kriging, Optimization Algorithm, Warpage Optimization

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