<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Worst Case Scenario Robust Optimization Utilizing Adaptive Dynamic Taylor Kriging and Differential Evolution Algorithm"^^ . "For the robust optimal design of electromagnetic problems under uncertainties, the robustness evaluation is the critical problem. This paper presents a surrogate model based worst case scenario optimization algorithm, where the adaptive dynamic Taylor Kriging is incorporated to construct a higher accurate surrogate model. Finally, an improved differential evo- lution algorithm, DE/λ-best/1/bin, is adopted to search for the global robust optimal solution."^^ . "2018-10-28" . . . . . . . . . . . . . . . . . . . . "Ziyan Ren"^^ . "Ren"^^ . "Ziyan Ren Ren"^^ . . "Minh Trien"^^ . "Pham"^^ . "Minh Trien Pham"^^ . . "Yanli"^^ . "Zhang"^^ . "Yanli Zhang"^^ . . "Bin"^^ . "Xia"^^ . "Bin Xia"^^ . . "Chang Seop"^^ . "Koh"^^ . "Chang Seop Koh"^^ . . . . "2018 IEEE 18th Biennial Conference on Electromagnetic Field Computations (CEFC2018)"^^ . . . . . "Hangzhou, China"^^ . . . . . . "Worst Case Scenario Robust Optimization Utilizing Adaptive Dynamic Taylor Kriging and Differential Evolution Algorithm (PDF)"^^ . . . "3-WC-ADTK_final.pdf"^^ . . "HTML Summary of #3252 \n\nWorst Case Scenario Robust Optimization Utilizing Adaptive Dynamic Taylor Kriging and Differential Evolution Algorithm\n\n" . "text/html" . . . "Electronics and Communications"@en . .