An improved solution methodology for the arsenal exchange model (AEM). - Jeffery D. Weir; James T. Moore; M. G. Stoecker (J. Oper. Res. Soc., 2001)

A three phase approach to solving the bidline generation problem with an emphasis on mitigating pilot fatigue through circadian rule enforcement. - Jeffery D. Weir (2002)

A Three-Phase Approach to Solving the Bidline Problem. - Jeffery D. Weir; Ellis L. Johnson (Ann. Oper. Res., 2004)

Methodology for competitive strategy development. - Richard K. Bullock; Richard F. Deckro; Jeffery D. Weir (Comput. Oper. Res., 2008)

A Practical Procedure for Customizable One-Way Sensitivity Analysis in Additive Value Models. - Stephen P. Chambal; Jeffery D. Weir; Yucel R. Kahraman; Alex J. Gutman (Decis. Anal., 2011)

Decentralized operation strategies for an integrated building energy system using a memetic algorithm. - Mengqi Hu; Jeffery D. Weir; Teresa Wu (Eur. J. Oper. Res., 2012)

An intelligent augmentation of particle swarm optimization with multiple adaptive methods. - Mengqi Hu; Teresa Wu; Jeffery D. Weir (Inf. Sci., 2012)

An Adaptive Particle Swarm Optimization With Multiple Adaptive Methods. - Mengqi Hu; Teresa Wu; Jeffery D. Weir (IEEE Trans. Evol. Comput., 2013)

Accuracy vs. robustness: bi-criteria optimized ensemble of metamodels. - Can Cui 002; Teresa Wu; Mengqi Hu; Jeffery D. Weir; Xianghua Chu (WSC, 2014)

An augmented multi-objective particle swarm optimizer for building cluster operation decisions. - Mengqi Hu; Jeffery D. Weir; Teresa Wu (Appl. Soft Comput., 2014)

AHPS2: An optimizer using adaptive heterogeneous particle swarms. - Xianghua Chu; Mengqi Hu; Teresa Wu; Jeffery D. Weir; Qiang Lu (Inf. Sci., 2014)

K Nearest Gaussian-A model fusion based framework for imbalanced classification with noisy dataset. - Miao He 001; Jeffery D. Weir; Teresa Wu; Alvin C. Silva; Dianna-Yue Zhao; Wei Qian 001 (Artif. Intell. Res., 2015)

Testing local search move operators on the vehicle routing problem with split deliveries and time windows. - Marcus E. McNabb; Jeffery D. Weir; Raymond R. Hill; Shane N. Hall (Comput. Oper. Res., 2015)

A recommendation system for meta-modeling: A meta-learning based approach. - Can Cui 002; Mengqi Hu; Jeffery D. Weir; Teresa Wu (Expert Syst. Appl., 2016)

Robust goal programming using different robustness echelons via norm-based and ellipsoidal uncertainty sets. - Robert W. Hanks; Jeffery D. Weir; Brian J. Lunday (Eur. J. Oper. Res., 2017)

Examining the effects of construction heuristics and problem structure on solution quality of the vehicle routing problem with split deliveries and time windows. - Marcus E. McNabb; Jeffery D. Weir; Shane N. Hall (Int. J. Metaheuristics, 2017)

Interactive Excel-Based Gantt Chart Schedule Builder. - Sarah G. Nurre; Jeffery D. Weir (INFORMS Trans. Educ., 2017)

Average Longest Path and Maximum Cost Network Flows with Multiple-Criteria Weights. - Jeremy D. Jordan; Jeffery D. Weir (Electron. Notes Discret. Math., 2018)

ENTRNA: a framework to predict RNA foldability. - Congzhe Su; Jeffery D. Weir; Fei Zhang; Hao Yan; Teresa Wu (BMC Bioinform., 2019)

Second-order extensions to nearly orthogonal-and-balanced (NOAB) mixed-factor experimental designs. - Zachary C. Little; Jeffery D. Weir; Raymond R. Hill; Brian B. Stone; Jason K. Freels (J. Simulation, 2019)

Advancing stock policy on repairable, intermittently-demanded service parts. - Greg H. Gehret; Jeffery D. Weir; Alan W. Johnson; David R. Jacques (J. Oper. Res. Soc., 2020)

Learning-interaction-diversification framework for swarm intelligence optimizers: a unified perspective. - Xianghua Chu; Teresa Wu; Jeffery D. Weir; Yuhui Shi 001; Ben Niu 002; Li Li 004 (Neural Comput. Appl., 2020)

Simultaneous task and energy planning using deep reinforcement learning. - Di Wang 029; Mengqi Hu; Jeffery D. Weir (Inf. Sci., 2022)

Multipolar Security Cooperation Planning: A Multiobjective, Adversarial-Risk-Analysis Approach. - William N. Caballero; Ethan Gharst; David Banks; Jeffery D. Weir (Decis. Anal., 2023)