John J. Borkowski

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 8

Top Topics

Genetic Algorithm

Experimental Designs

Weighted Moving Average

Top Venues

Qual. Reliab. Eng. Int.

Comput. Ind. Eng.

Appl. Netw. Sci.

Publications

Stephen J. Walsh, Thomsen B. Bolton, John J. Borkowski
Generating optimal designs with user-specified pure replication structure. Qual. Reliab. Eng. Int. 40 (4) (2024)
Stephen J. Walsh, John J. Borkowski
Generating Exact Optimal Designs via Particle Swarm Optimization: Assessing Efficacy and Efficiency via Case Study. CoRR (2022)
Wanida Limmun, Boonorm Chomtee, John J. Borkowski
Using geometric mean to compute robust mixture designs. Qual. Reliab. Eng. Int. 37 (8) (2021)
Kara Layne Johnson, Jennifer L. Walsh, Yuri A. Amirkhanian, John J. Borkowski, Nicole Bohme Carnegie
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. Appl. Netw. Sci. 6 (1) (2021)
Wasinee Pradubsri, Boonorm Chomtee, John J. Borkowski
Using a genetic algorithm to generate D-optimal designs for mixture-process variable experiments. Qual. Reliab. Eng. Int. 35 (8) (2019)
Wanida Limmun, Boonorm Chomtee, John J. Borkowski
The construction of robust mixture-process experimental designs via genetic algorithm. Qual. Reliab. Eng. Int. 35 (6) (2019)
Wanida Limmun, John J. Borkowski, Boonorm Chomtee
Weighted A-optimality criterion for generating robust mixture designs. Comput. Ind. Eng. 125 (2018)
Sudarat Nidsunkid, John J. Borkowski, Kamon Budsaba
The effects of violations of the multivariate normality assumption in multivariate Shewhart and MEWMA control charts. Qual. Reliab. Eng. Int. 33 (8) (2017)
Wanida Limmun, John J. Borkowski, Boonorm Chomtee
Using a Genetic Algorithm to Generate D-optimal Designs for Mixture Experiments. Qual. Reliab. Eng. Int. 29 (7) (2013)
Julia L. Sharp, John J. Borkowski, Denise Schmoyer, Don Simone Daly, Samuel Purvine, William R. Cannon, Gregory B. Hurst
Statistically appraising process quality of affinity isolation experiments. Comput. Stat. Data Anal. 53 (5) (2009)
John J. Borkowski, Elsie S. Valeroso
Comparison of Design Optimality Criteria of Reduced Models for Response Surface Designs in the Hypercube. Technometrics 43 (4) (2001)