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Research on new optimization algorithms is often funded based on the motivation that such algorithms might improve the capabilities to deal with real-world and industrially relevant optimization challenges. Besides a huge variety of different evolutionary and metaheuristic optimization algorithms, also a large number of test problems and benchmark suites have been developed and used for comparative assessments of algorithms, in the context of global, continuous, and black-box optimization. Fordoi:10.1109/cec48606.2020.9185593 dblp:conf/cec/SalaM20 fatcat:l4cliyfwsve7rdsmevj44f4oza