IEEE

A Novel Evolutionary Bayesian Optimization Algorithm Based on Decomposition for Expensive Constrained Multiobjective Optimization Problems

Abstract: This article proposes a novel constrained multiobjective evolutionary Bayesian optimization algorithm based on decomposition (named CMOEBO/D) for expensive constrained multiobjective ...
GitHub

Portfolio Optimization in Python (Sharpe Ratio, Minimum Variance, Target Return)

SLSQP stands for Sequential Least Squares Programming. It is a numerical optimization algorithm used to solve constrained nonlinear optimization problems. In this project, we aim to optimize objective ...
Scientific Research Publishing

Nayak, J., Meher, S.K., Souri, A., Naik, B. and Vimal, S. (2022) Extreme Learning Machine and Bayesian Optimization-Driven Intelligent Framework for IoMT Cyber-Attack Detection ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
IEEE

BOW: Bayesian Optimization Over Windows for Motion Planning in Complex Environments

Abstract: This letter introduces the BOW Planner, a scalable motion planning algorithm designed to navigate robots through complex environments using constrained Bayesian optimization (CBO). Unlike ...
Frontiers

Deep transfer learning with Bayesian optimization for evolutionary-stage prediction of step-like landslides

1 State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, China 2 State Key Laboratory of Mountain Bridge and Tunnel Engineering, ...
GitHub

Bayesian Optimization for CVaR-based Portfolio Optimization

This repository contains experiment that implements Bayesian Optimization (BO) techniques for Conditional Value-at-Risk (CVaR)-based portfolio optimization, inspired by the research paper "Bayesian ...
C&EN

Constrained Bayesian Optimization for the Deposition Conditions of Doped a-Si:H with High Passivation Performance for SHJ Solar Cells

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
EurekAlert!

Deterministic form-position deflectometric measurement of monolithic multi-freeform optical structures via Bayesian multisensor fusion

With the continuous advancement of photoelectric performance in major equipment and advanced instruments, traditional optical elements are increasingly inadequate to meet the demands of modern systems ...