SOLVING BI-OBJECTIVE INTERVAL ASSIGNMENT PROBLEM USING GENETIC APPROACH

2020 ◽  
Vol 10 (2) ◽  
pp. 759-768
Author(s):  
T. K. Buvaneshwari ◽  
D. Anuradha
2018 ◽  
Author(s):  
Tim Gould

The GMTKN55 benchmarking protocol introduced by [Goerigk et al., Phys. Chem. Chem. Phys., 2017, 19, 32184] allows comprehensive analysis and ranking of density functional approximations with diverse chemical behaviours. But this comprehensiveness comes at a cost: GMTKN55's 1500 benchmarking values require energies for around 2500 systems to be calculated, making it a costly exercise. This manuscript introduces three subsets of GMTKN55, consisting of 30, 100 and 150 systems, as `diet' substitutes for the full database. The subsets are chosen via a stochastic genetic approach, and consequently can reproduce key results of the full GMTKN55 database, including ranking of approximations.


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