Quantification and minimization of uncertainty is an important task in the design of electromagnetic devices, which comes with high computational effort. We propose a hybrid approach combining the reliability and accuracy of a Monte Carlo analysis with the efficiency of a surrogate model based on Gaussian Process Regression. We present two optimization approaches. An adaptive Newton-MC to reduce the impact of uncertainty and a genetic multi-objective approach to optimize performance and robustness at the same time. For a dielectrical waveguide, used as a benchmark problem, the proposed methods outperform classic approaches.
Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression
Josef Ressel Centre for Symbolic Regression（约瑟夫·雷塞尔符号回归中心）；University of Applied Sciences Upper Austria（上奥地利应用科学大学）；Johannes Kepler University（约翰内斯·开普勒大学）
On the Effectiveness of Genetic Operations in Symbolic Regression
Heuristic and Evolutionary Algorithms Laboratory（启发式与进化算法实验室）；University of Applied Sciences Upper Austria（上奥地利应用科学大学）；Institute for Formal Models and Verification（形式模型与验证研究所）；Johannes Kepler University Linz（林茨约翰开普勒大学）
Comparative Analysis of Data Preprocessing Methods, Feature Selection Techniques and Machine Learning Models for Improved Classification and Regression Performance on Imbalanced Genetic Data
Evergreen Valley College（埃弗格林谷学院）；Gilead Sciences（吉利德科学公司）
Evaluation of Population Initialization Methods for Genetic Programming-based Symbolic Regression
Heuristic and Evolutionary Algorithms Laboratory, University of Applied Sciences Upper Austria（上奥地利应用科学大学启发式与进化算法实验室）；Astrophysics, University of Oxford（牛津大学天体物理学系）；Institute of Cosmology & Gravitation, University of Portsmouth（朴茨茅斯大学宇宙学与引力研究所）
Data Aggregation for Reducing Training Data in Symbolic Regression
Josef Ressel Center for Symbolic Regression（约瑟夫·雷塞尔符号回归中心）；Heuristic and Evolutionary Algorithms Laboratory（启发式与进化算法实验室）；University of Applied Sciences Upper Austria（上奥地利应用科学大学）
Refining Hybrid Genetic Search for CVRP via Reinforcement Learning-Finetuned LLM
School of Teacher Education, Nanjing University of Information Science and Technology, China（南京信息工程大学教师教育学院）；Nanyang Technological University, Singapore（新加坡南洋理工大学）；Singapore Management University, Singapore（新加坡管理大学）
Toward Capturing Genetic Epistasis From Multivariate Genome-Wide Association Studies Using Mixed-Precision Kernel Ridge Regression
King Abdullah University of Science and Technology（阿卜杜拉国王科技大学）；Massachusetts Institute of Technology（麻省理工学院）；Saint Louis University（圣路易斯大学）；NVIDIA（英伟达公司）
Prediction of number of cases expected and estimation of the final size of coronavirus epidemic in India using the logistic model and genetic algorithm
Amrita Vishwa Vidyapeetham（阿姆里塔维什瓦维迪亚皮塔姆）；Amrita School of Engineering（阿姆里塔工程学院）；Center for Computational Engineering and Networking (CEN)（计算工程与网络中心）
Efficient Constant Optimization for Symbolic Regression with GPU-Accelerated Tree-Based Genetic Programming
The Hong Kong Polytechnic University（香港理工大学）；University of Washington（华盛顿大学）；Amazon Web Services（亚马逊网络服务）；Jiangxi University of Finance and Economics（江西财经大学）；EEO Education Technology（EEO教育科技）；Chongqing Medical University（重庆医科大学）；Eastern Institute of Technology（东方理工学院）
Accelerating ground state search of spatial photonic Ising machines with genetic-simulated annealing hybrid algorithm
Institute for Quantum Sensing and Information Processing（量子传感与信息处理研究所）；State Key Laboratory of Photonics and Communications（光子与通信国家重点实验室）；Global College（全球学院）；Shanghai Research Center for Quantum Sciences（上海量子科学研究中心）；Hefei National Laboratory（合肥国家实验室）；Shanghai Quantum Intelligence Sensing Technology Co., Ltd（上海量子智能感知技术有限公司）
