Journal article

Informing Multiobjective Optimization Benchmark Construction Through Instance Space Analysis

E Yap, MA Munoz, K Smith-Miles

IEEE Transactions on Evolutionary Computation | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2022

Abstract

The role of carefully constructed benchmark suites in algorithm design and testing is critical. Within the continuous multiobjective optimization domain, existing suites include the general purpose ZDT, DTLZ, and WFG suites, and more recent ones specifically designed to explore the impacts of a particular problem characteristic. However, the relationship between existing suites is not clear, and the field would benefit from a 'stock-take' assessment. This article investigates the coverage of current continuous multiobjective suites using the instance space analysis (ISA) methodology. Exploratory landscape analysis is used to measure critical features of each problem suite. Thereafter, we gen..

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Grants

Awarded by Australian Research Council


Awarded by ARC Training Centre in Optimisation Technologies, Integrated Methodologies and Applications (OPTIMA)


Funding Acknowledgements

This work was supported in part by the Australian Research Council through the Australian Laureate Fellowship under Grant FL140100012, and in part by the ARC Training Centre in Optimisation Technologies, Integrated Methodologies and Applications (OPTIMA) under Grant IC200100009)