William A. Young II
Orcid: 0000-0001-7004-4277
According to our database1,
William A. Young II
authored at least 21 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
A guided twin delayed deep deterministic reinforcement learning for vaccine allocation in human contact networks.
Appl. Soft Comput., 2024
2023
2021
Int. J. Oper. Res. Inf. Syst., 2021
Detecting Community Structures Within Complex Networks Using a Discrete Unconscious Search Algorithm.
Int. J. Oper. Res. Inf. Syst., 2021
A multi-objective two-echelon location-routing problem for cash logistics: A metaheuristic approach.
Appl. Soft Comput., 2021
Mitigating the risk of infection spread in manual order picking operations: A multi-objective approach.
Appl. Soft Comput., 2021
2020
Int. J. Oper. Res. Inf. Syst., 2020
Int. J. Comput. Sci. Sport, 2020
A hybrid artificial neural network, genetic algorithm and column generation heuristic for minimizing makespan in manual order picking operations.
Expert Syst. Appl., 2020
2017
Extracting customer opinions associated with an aspect by using a heuristic based sentence segmentation approach.
Int. J. Bus. Inf. Syst., 2017
2016
Applying genetic algorithm to a new bi-objective stochastic model for transportation, location, and allocation of hazardous materials.
Expert Syst. Appl., 2016
A State-Based Sensitivity Analysis for Distinguishing the Global Importance of Predictor Variables in Artificial Neural Networks.
Adv. Artif. Neural Syst., 2016
2015
Using Voronoi diagrams to improve classification performances when modeling imbalanced datasets.
Neural Comput. Appl., 2015
2012
Neural Comput. Appl., 2012
Modeling microalgal abundance with artificial neural networks: Demonstration of a heuristic 'Grey-Box' to deconvolve and quantify environmental influences.
Environ. Model. Softw., 2012
2011
Int. J. Data Anal. Tech. Strateg., 2011
Modeling net ecosystem metabolism with an artificial neural network and Bayesian belief network.
Environ. Model. Softw., 2011
2010
Using a heuristic approach to derive a grey-box model through an artificial neural network knowledge extraction technique.
Neural Comput. Appl., 2010
2008
Comput. Ind. Eng., 2008