This paper compares several Gaussian-processbased surrogate modeling methods applied to black-box optimization by means of the Covariance Matrix Adaptation Evolution Strategy (CMA-ES), which is considered state-of-the-art in the area of continuous black-box optimization. Among the compared methods are the Modelassisted CMA-ES, the Robust Kriging Metamodel CMAES, and the Surrogate CMA-ES. In add...

This article describes model-based methods for global optimization. After introducing the global optimization framework, modeling approaches for stochastic algorithms are presented. We differentiate between models that use a distribution and models that use an explicit surrogate model. Fundamental aspects of and recent advances in surrogate-model based optimization are discussed. Strategies for...

Modeling plays a major role in policy making, especially for infectious disease interventions but such models can be complex and computationally intensive. A more systematic exploration is needed to gain a thorough systems understanding. We present an active learning approach based on machine learning techniques as iterative surrogate modeling and model-guided experimentation to systematically ...

background: using the method “surrogacy” in which a woman accepts to bear and deliver a child for a married couple is considered as a subsidiary method in infertility therapy. this method is relatively new in iran. objective: the purpose of this study was to evaluate the experiences of the women involved in surrogacy and to reveal some issues related to this method. materials and methods: the m...

Consider the case where cause-effect relationships between variables can be described as a directed acyclic graph and the corresponding linear structural equation model. This paper provides graphical identifiability criteria for total effects by using surrogate variables in the case where it is difficult to observe a treatment/response variable. The results enable us to judge from graph structu...

Agent-Based Modeling and Simulation (ABMS) has emerged as a new and powerful technology for the analysis of natural and artificial complex systems. In this paper ABMS is exploited for the modeling and performance evaluation of Conventional, Clustered and Cooperative Content Distribution Network (CDN) architectures. Clustered and Cooperative architectures differ from Conventional architectures a...