Comparison of Design Optimality Criteria of Reduced Models for Response Surface Designs in the Hypercube. - John J. Borkowski; Elsie S. Valeroso (Technometrics, 2001)

Statistically appraising process quality of affinity isolation experiments. - Julia L. Sharp; John J. Borkowski; Denise Schmoyer; Don Simone Daly; Samuel O. Purvine; William R. Cannon; Gregory B. Hurst (Comput. Stat. Data Anal., 2009)

Using a Genetic Algorithm to Generate D-optimal Designs for Mixture Experiments. - Wanida Limmun; John J. Borkowski; Boonorm Chomtee (Qual. Reliab. Eng. Int., 2013)

The effects of violations of the multivariate normality assumption in multivariate Shewhart and MEWMA control charts. - Sudarat Nidsunkid; John J. Borkowski; Kamon Budsaba (Qual. Reliab. Eng. Int., 2017)

Weighted A-optimality criterion for generating robust mixture designs. - Wanida Limmun; John J. Borkowski; Boonorm Chomtee (Comput. Ind. Eng., 2018)

The construction of robust mixture-process experimental designs via genetic algorithm. - Wanida Limmun; Boonorm Chomtee; John J. Borkowski (Qual. Reliab. Eng. Int., 2019)

Using a genetic algorithm to generate D-optimal designs for mixture-process variable experiments. - Wasinee Pradubsri; Boonorm Chomtee; John J. Borkowski (Qual. Reliab. Eng. Int., 2019)

Using a novel genetic algorithm to assess peer influence on willingness to use pre-exposure prophylaxis in networks of Black men who have sex with men. - Kara Layne Johnson; Jennifer L. Walsh; Yuri A. Amirkhanian; John J. Borkowski; Nicole Bohme Carnegie (Appl. Netw. Sci., 2021)

Using geometric mean to compute robust mixture designs. - Wanida Limmun; Boonorm Chomtee; John J. Borkowski (Qual. Reliab. Eng. Int., 2021)

Generating Exact Optimal Designs via Particle Swarm Optimization: Assessing Efficacy and Efficiency via Case Study. - Stephen J. Walsh; John J. Borkowski (CoRR, 2022)

Generating optimal designs with user-specified pure replication structure. - Stephen J. Walsh; Thomsen B. Bolton; John J. Borkowski (Qual. Reliab. Eng. Int., 2024)