21 Papers
85 Citations
Bin Xia is an academic researcher from Shenyang University of Technology. The author has contributed to research in topics: Kriging & Surrogate model. The author has an hindex of 8, co-authored 21 publications. Previous affiliations of Bin Xia include Chungbuk National University.
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Papers
A Global Optimization Algorithm for Electromagnetic Devices by Combining Adaptive Taylor Kriging and Particle Swarm Optimization
TL;DR: This paper presents an efficient optimization strategy which employs adaptive Taylor Kriging and Particle Swarm Optimization (PSO) to search for optimal solutions of electromagnetic problem.
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A Novel Adaptive Dynamic Taylor Kriging and Its Application to Optimal Design of Electromagnetic Devices
TL;DR: An adaptive dynamic Taylor Kriging (ADTK) is developed and combined with the particle swarm optimization algorithm to get a numerically efficient optimization strategy.
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A Numerically Efficient Multi-Objective Optimization Algorithm: Combination of Dynamic Taylor Kriging and Differential Evolution
TL;DR: A dynamic Taylor Kriging (DTK) is newly developed and combined with a multi-objective differential evolution algorithm to get a numerically efficient multi-Objective optimization strategy.
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Co-Kriging Assisted PSO Algorithm and Its Application to Optimal Transposition Design of Power Transformer Windings for the Reduction of Circulating Current Loss
TL;DR: The co-Kriging takes most samplings from less accurate but cheap data, while taking only some from accurate but expensive data to increase its fitting accuracy and to reduce the computing cost at the same time.
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Optimum design of switched reluctance motor to minimize torque ripple using ordinary Kriging model and genetic algorithm
Yanli Zhang,Bin Xia,Dexin Xie,Chang Seop Koh +3 more
- 15 Nov 2011
TL;DR: In this article, a 3 phase 6/4 pole switched reluctance motor (SRM) with a low torque ripple was designed based on an efficient optimization strategy employing Ordinary Kriging model and genetic algorithm (GA).
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