Journal Article10.1007/s42835-022-01183-3
An Efficient Multi-objective Optimization Algorithm Exploiting Gradient Enhanced Kriging with Optimally Selected Basis Functions for Electromagnetic Design
TL;DR: Numerical test show that the novel multi-objective optimization strategy utilizing the gradient enhanced dynamic kriging (GEDK) method yields the same Pareto-front compared with the traditional NSGA-II method with less finite-element analysis calls.
read more
About: This article is published in Journal of Electrical Engineering & Technology. The article was published on 15 Aug 2022. The article focuses on the topics: Kriging & Multi-objective optimization.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
References
•Book
Power Magnetic Devices: A Multi-Objective Design Approach
Scott D. Sudhoff
- 30 Jan 2014
TL;DR: This ebook presents the complete variation of Power Magnetic Devices: A Multi-Objective Design Approach in txt, PDF, DjVu, ePub, doc formats.
An Intelligent Hybrid System for Forecasting Stock and Forex Trading Signals using Optimized Recurrent FLANN and Case-Based Reasoning
TL;DR: An intelligent stock trading system utilizing dynamic time windows with case-based reasoning (CBR), and recurrent function link artificial neural network (FLANN) optimized with Firefly algorithm is designed, intended to pick the buy/sell window of target stock to maximize the profit.
Evaluation of POD based surrogate models of fields resulting from nonlinear FEM simulations
TL;DR: In this paper, a POD-based surrogate model with Radial Basis Function interpolation is used to model high-dimensional FE data fields and the effect of (pre)processing methods on the accuracy of the result field is systematically investigated.