2002 | Supplement | Buchkapitel
MOEA Test Suites
verfasst von : Carlos A. Coello Coello, David A. Van Veldhuizen, Gary B. Lamont
Erschienen in: Evolutionary Algorithms for Solving Multi-Objective Problems
Verlag: Springer US
Enthalten in: Professional Book Archive
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Why test MOEAs? To evaluate, compare, classify, and improve algorithm performance (effectiveness and efficiency)! What is an MOEA test? An MOP test function, an MOP test suite, pedagogical functions, or a real-world problem? How to find an appropriate MOEA test? MOEA literature, historical use, test generators, or well known real-world applications. When to test? Incremental algorithm and test development starting early or wait until end of development. How to design an MOEA test? Assumptions, computational platform selection, statistical tools, metric selection, experimental plan, and an on-going process. Therefore, considerable effort must be expended not only to define proper MOP tests and generate the proper design of MOEA experiments, but also to employ the honest selection of appropriate testing metrics and associated statistical evaluation and comparison. In this chapter, the development of various MOP test suites is addressed, and in the next chapter, their use in appropriate MOEA evaluations is discussed.