Scalable and Customizable Benchmark Problems for Many-Objective Optimization

26 Jan 2020Ivan Reinaldo MeneghiniMarcos Antonio AlvesAntónio Gaspar-CunhaFrederico Gadelha Guimarães

Solving many-objective problems (MaOPs) is still a significant challenge in the multi-objective optimization (MOO) field. One way to measure algorithm performance is through the use of benchmark functions (also called test functions or test suites), which are artificial problems with a well-defined mathematical formulation, known solutions and a variety of features and difficulties... (read more)

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