A new particle swarm optimization algorithm for noisy optimization problems
Year: 2016
Type: article
Source: Swarm Intelligence
Authors: Sajjad Taghiyeh, Jie Xu
Institution: George Mason University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
Funder: National Science Foundation
Awards: Improving Search Efficiency in Engineering Design by Integrating Multiple Models at Different Fidelities, Stochastic Simulation Optimization: An Optimized Approach, EAGER-Dynamic Data: A New Scalable Paradigm for Optimal Resource Allocation in Dynamic Data Systems via Multi-Scale and Multi-Fidelity Simulation and Optimization
OpenAlex ID: W2460436721