Difficulty Adjustable and Scalable Constrained Multiobjective Test Problem Toolkit
نویسندگان
چکیده
منابع مشابه
Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit
In order to better understand the advantages and disadvantages of a constrained multi-objective evolutionary algorithm (CMOEA), it is important to understand the nature of difficulty of a constrained multi-objective optimization problem (CMOP) that the CMOEA is going to deal with. A CMOP includes objectives and constraints, and a number of features, such as the multi-modality and the degeneracy...
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ژورنال
عنوان ژورنال: Evolutionary Computation
سال: 2020
ISSN: 1063-6560,1530-9304
DOI: 10.1162/evco_a_00259