A Multiobjective Test Suite with Hexagon Pareto Fronts and Various Feasible Regions

The performance of a Multiobjective Evolutionary Algorithm (MOEA) for many-objective optimization is often evaluated by multiobjective scalable test problems like DTLZ and WFG problems. This is because the scalable test problems are quite useful for an MOEA analysis. However, the scalable test probl...

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Bibliographic Details

Published in:	2019 IEEE Congress on Evolutionary Computation (CEC) pp. 2058 - 2065
Main Authors:	Matsumoto, Takashi, Masuyama, Naoki, Nojima, Yusuke, Ishibuchi, Hisao
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2019
Subjects:	evolutionary multiobjective optimization algorithms Lattices Linear programming many-objective optimization multiobjective optimization problems Optimization Resistance scalable test suites Shape Sociology Statistics
Online Access:	Get full text
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