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:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A guided twin delayed deep deterministic reinforcement learning for vaccine allocation in human contact networks.
Appl. Soft Comput., 2024

2023
Competitive pricing under local network effects.
Eur. J. Oper. Res., December, 2023

2021
A Scheduling and Rescheduling Decision Support System for Apparel Manufacturing.
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

Incentive rate determination in viral marketing.
Eur. J. Oper. Res., 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
Financial Asset Management Using Artificial Neural Networks.
Int. J. Oper. Res. Inf. Syst., 2020

A Team-Compatibility Decision Support System for the National Football League.
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
Using artificial neural networks to enhance CART.
Neural Comput. Appl., 2012

Applying a hybrid artificial immune systems to the job shop scheduling problem.
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
An investigation of TREPAN utilising a continuous oracle model.
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
A matrix-based methodology for determining a part family's learning rate.
Comput. Ind. Eng., 2008


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