Tunneling between optima: partition crossover for the traveling salesman problem. - L. Darrell Whitley; Doug Hains; Adele E. Howe (GECCO, 2009)

Improved Robustness through Population Variance in Ant Colony Optimization. - David C. Matthews; Andrew M. Sutton; Doug Hains; L. Darrell Whitley (SLS, 2009)

A Hybrid Genetic Algorithm for the Traveling Salesman Problem Using Generalized Partition Crossover. - L. Darrell Whitley; Doug Hains; Adele E. Howe (PPSN (1), 2010)

Improving CUDASW++, a Parallelization of Smith-Waterman for CUDA Enabled Devices. - Doug Hains; Zach Cashero; Mark Ottenberg; Wim Bohm; Sanjay V. Rajopadhye (IPDPS Workshops, 2011)

Revisiting the big valley search space structure in the TSP. - Doug Hains; L. Darrell Whitley; Adele E. Howe (J. Oper. Res. Soc., 2011)

Improving Lin-Kernighan-Helsgaun with Crossover on Clustered Instances of the TSP. - Doug Hains; L. Darrell Whitley; Adele E. Howe (PPSN (2), 2012)

Greedy or Not? Best Improving versus First Improving Stochastic Local Search for MAXSAT. - L. Darrell Whitley; Adele E. Howe; Doug Hains (AAAI, 2013)

Second order partial derivatives for NK-landscapes. - Wenxiang Chen; L. Darrell Whitley; Doug Hains; Adele E. Howe (GECCO, 2013)

Hyperplane initialized local search for MAXSAT. - Doug Hains; L. Darrell Whitley; Adele E. Howe; Wenxiang Chen (GECCO, 2013)

Bayesian Sample Size Prediction for Online Activity. - Thomas S. Richardson 001; Yu Liu 080; James McQueen; Doug Hains (CoRR, 2021)

A Bayesian Model for Online Activity Sample Sizes. - Thomas S. Richardson 001; Yu Liu 080; James McQueen; Doug Hains (AISTATS, 2022)

Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring. - Runzhe Wan; Yu Liu 080; James McQueen; Doug Hains; Rui Song 006 (KDD, 2023)

Leveraging covariate adjustments at scale in online A/B testing. - Lorenzo Masoero; Doug Hains; James McQueen (CDPD, 2023)

Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches. - Yu Liu 080; Runzhe Wan; James McQueen; Doug Hains; Jinxiang Gu; Rui Song 006 (AAAI, 2024)

Know When to Fold: Futility-Aware Early Termination in Online Experiments. - Yu Liu 080; Runzhe Wan; Yian Huang; James McQueen; Doug Hains; Jinxiang Gu; Rui Song 006 (WWW (Companion Volume), 2025)