Artículos con órdenes de acceso público - Jeff WeirMás información
No disponibles en ningún lugar: 8
Learning–interaction–diversification framework for swarm intelligence optimizers: a unified perspective
X Chu, T Wu, JD Weir, Y Shi, B Niu, L Li
Neural Computing and Applications 32, 1789-1809, 2020
Órdenes: National Natural Science Foundation of China
Simultaneous task and energy planning using deep reinforcement learning
D Wang, M Hu, JD Weir
Information Sciences 607, 931-946, 2022
Órdenes: US National Science Foundation, US Department of Energy, US Department of …
AHPS^2: An optimizer using adaptive heterogeneous particle swarms
X Chu, M Hu, T Wu, JD Weir, Q Lu
Information Sciences 280, 26-52, 2014
Órdenes: National Natural Science Foundation of China
Second-order extensions to nearly orthogonal-and-balanced (NOAB) mixed-factor experimental designs
ZC Little, JD Weir, RR Hill, BB Stone, JK Freels
Journal of Simulation, 2019
Órdenes: US Department of Defense
Average longest path and maximum cost network flows with multiple-criteria weights
JD Jordan, JD Weir
Electronic Notes in Discrete Mathematics 69, 181-188, 2018
Órdenes: US Department of Defense
Batch sequential NOAB designs by way of simultaneous construction and augmentation
ZC Little, JD Weir, RR Hill, BB Stone, JK Freels
International Journal of Experimental Design and Process Optimisation 6 (2 …, 2019
Órdenes: US Department of Defense
Multipolar Security Cooperation Planning: A Multiobjective, Adversarial-Risk-Analysis Approach
WN Caballero, E Gharst, D Banks, JD Weir
Decision Analysis 20 (1), 16-39, 2023
Órdenes: US National Science Foundation, US Department of Defense
Comparison of Mixed-factor Space-filling Designs for Meta-model Recommendation Systems
Z Little, J Weir, R Hill, B Stone, J Freels
IIE Annual Conference. Proceedings, 198-203, 2018
Órdenes: US Department of Defense
Disponibles en algún lugar: 7
Short-term building energy model recommendation system: A meta-learning approach
C Cui, T Wu, M Hu, JD Weir, X Li
Applied energy 172, 251-263, 2016
Órdenes: US National Science Foundation
A recommendation system for meta-modeling: A meta-learning based approach
C Cui, M Hu, JD Weir, T Wu
Expert Systems with Applications 46, 33-44, 2016
Órdenes: US National Science Foundation, National Natural Science Foundation of China
The influence of operational resources and activities on indirect personnel costs: A multilevel modeling approach
BC Boehmke, AW Johnson, ED White, JD Weir, MA Gallagher
The Engineering Economist 61 (4), 289-312, 2016
Órdenes: US Department of Energy
ENTRNA: a framework to predict RNA foldability
C Su, JD Weir, F Zhang, H Yan, T Wu
BMC bioinformatics 20 (373), 2019
Órdenes: US Department of Defense
Bending the cost curve: Moving the focus from macro-level to micro-level cost trends with cluster analysis
BC Boehmke, AW Johnson, ED White, JD Weir, MA Gallagher
Journal of Cost Analysis and Parametrics 8 (2), 126-148, 2015
Órdenes: US Department of Energy
Tooth-to-tail impact analysis: Combining econometric modeling and Bayesian networks to assess support cost consequences due to changes in force structure
BC Boehmke, AW Johnson, ED White, JD Weir, MA Gallagher
Journal of Cost Analysis and Parametrics 9 (1), 2-31, 2016
Órdenes: US Department of Energy
Constrained optimization based adversarial example generation for transfer attacks in network intrusion detection systems
M Chale, B Cox, J Weir, ND Bastian
Optimization Letters, 1-20, 2023
Órdenes: US Department of Defense
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