Good Laboratory Practice for optimization research

Graham Kendall, Ruibin Bai, Jacek Błazewicz, Patrick De Causmaecker, Michel Gendreau, Robert John, Jiawei Li, Barry McCollum, Erwin Pesch, Rong Qu, Nasser Sabar, Greet Vanden Berghe and Angelina Yee
Additional contact information
Graham Kendall: University of Nottingham, Nottingham, UK
Ruibin Bai: University of Nottingham Ningbo, Ningbo, China
Jacek Błazewicz: Poznan University of Technology, Poznan, Poland
Patrick De Causmaecker: KU Leuven, Campus Kulak, Kortrijk, Belgium
Michel Gendreau: University of Montreal, Montreal, Canada
Robert John: University of Nottingham, Nottingham, UK
Jiawei Li: University of Nottingham, Nottingham, UK
Barry McCollum: Queen’s University Belfast, Belfast, UK
Erwin Pesch: Universit&aauml;t Siegen, Siegen, Germany
Rong Qu: University of Nottingham, Nottingham, UK
Nasser Sabar: University of Nottingham Malaysia Campus, Semenyih, Malaysia
Greet Vanden Berghe: KU Leuven, Technology Campus Gent, Gent, Belgium
Angelina Yee: University of Nottingham Malaysia Campus, Semenyih, Malaysia

Journal of the Operational Research Society, 2016, vol. 67, issue 4, 676-689

Abstract: Good Laboratory Practice has been a part of non-clinical research for over 40 years. Optimization Research, despite having many papers discussing standards being published over the same period of time, has yet to embrace standards that underpin its research. In this paper we argue the need to adopt standards in optimization research. Building on previous papers, many of which have suggested that the optimization research community should adopt certain standards, we suggest a concrete set of recommendations that the community should adopt. We also discuss how the proposals in this paper could be progressed.

Date: 2016
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