Performance Measurement for Interactive Multi-objective Evolutionary Algorithms
This paper suggests to use a different metric for performance of multiple-point interactive evolutionary multi-objective algorithms. We defined a preferred region based on a set of user's reference points. Based on the preferred region, we also define a User based Front (UbF) which is generated...
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| Vydáno v: | 2015 Seventh International Conference on Knowledge and Systems Engineering (KSE) s. 302 - 305 |
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01.10.2015
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| Abstract | This paper suggests to use a different metric for performance of multiple-point interactive evolutionary multi-objective algorithms. We defined a preferred region based on a set of user's reference points. Based on the preferred region, we also define a User based Front (UbF) which is generated from the preferred region. UbF is used in calculation of Generational Distance (GD) and Inverse Generational Distance (IGD). The usage of the metric in experiments indicated meaningful comparisons for interactive multi-objective evolutionary algorithms using multiple reference points. |
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| AbstractList | This paper suggests to use a different metric for performance of multiple-point interactive evolutionary multi-objective algorithms. We defined a preferred region based on a set of user's reference points. Based on the preferred region, we also define a User based Front (UbF) which is generated from the preferred region. UbF is used in calculation of Generational Distance (GD) and Inverse Generational Distance (IGD). The usage of the metric in experiments indicated meaningful comparisons for interactive multi-objective evolutionary algorithms using multiple reference points. |
| Author | Lam Thu Bui Hung Nguyen Xuan Long Nguyen |
| Author_xml | – sequence: 1 surname: Long Nguyen fullname: Long Nguyen email: longit76@gmail.com organization: Dept. of Inf. Technol., Nat. Defense Acad., Hanoi, Vietnam – sequence: 2 surname: Hung Nguyen Xuan fullname: Hung Nguyen Xuan email: nguyenxuanhung@outlook.com organization: Fac. of Inf. Technol., Le Quy Don Tech. Univ., Hanoi, Vietnam – sequence: 3 surname: Lam Thu Bui fullname: Lam Thu Bui email: lam.bui07@gmail.com organization: Fac. of Inf. Technol., Le Quy Don Tech. Univ., Hanoi, Vietnam |
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| Snippet | This paper suggests to use a different metric for performance of multiple-point interactive evolutionary multi-objective algorithms. We defined a preferred... |
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| SubjectTerms | Convergence DMEA-II Evolutionary computation IGD Interactive EMO Measurement MOEA/D multi-point interactive Optical fibers Optimization Reference points Sociology Statistics |
| Title | Performance Measurement for Interactive Multi-objective Evolutionary Algorithms |
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