A Generalized Framework for Multi-objective-based Constraint Handling Technique
This paper introduces a novel approach to handling constraints in multi-objective optimization problems by treating constraints as objectives. Our study consists of three main contributions. First, we present a generalized framework for multi-objective-based constraint handling techniques, which int...
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| Vydáno v: | International journal of control, automation, and systems Ročník 22; číslo 10; s. 3240 - 3252 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Bucheon / Seoul
Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers
01.10.2024
Springer Nature B.V 제어·로봇·시스템학회 |
| Témata: | |
| ISSN: | 1598-6446, 2005-4092 |
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| Abstract | This paper introduces a novel approach to handling constraints in multi-objective optimization problems by treating constraints as objectives. Our study consists of three main contributions. First, we present a generalized framework for multi-objective-based constraint handling techniques, which integrates multi-objective-based methods with the constraint dominance principle. This framework systematically incorporates various aspects of constraint violations into the objective function, enhancing optimization strategies. Second, we propose the constraint violation ratio, a metric that uses a constraint weight vector to quantify the severity of violations. Third, we develop the constraint diversity factor, an adaptive version of the constraint weight vector, which adapts as the frequency of constraint violations changes. Extensive experimental evaluations validate the effectiveness of our methods, demonstrating their applicability across a wide range of constrained optimization scenarios. |
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| AbstractList | This paper introduces a novel approach to handling constraints in multi-objective optimization problems by treating constraints as objectives. Our study consists of three main contributions. First, we present a generalized framework for multi-objective-based constraint handling techniques, which integrates multi-objective-based methods with the constraint dominance principle. This framework systematically incorporates various aspects of constraint violations into the objective function, enhancing optimization strategies. Second, we propose the constraint violation ratio, a metric that uses a constraint weight vector to quantify the severity of violations. Third, we develop the constraint diversity factor, an adaptive version of the constraint weight vector, which adapts as the frequency of constraint violations changes. Extensive experimental evaluations validate the effectiveness of our methods, demonstrating their applicability across a wide range of constrained optimization scenarios. This paper introduces a novel approach to handling constraints in multi-objective optimization problems by treating constraints as objectives. Our study consists of three main contributions. First, we present a generalized framework for multi-objective-based constraint handling techniques, which integrates multi-objective-based methods with the constraint dominance principle. This framework systematically incorporates various aspects of constraint violations into the objective function, enhancing optimization strategies. Second, we propose the constraint violation ratio, a metric that uses a constraint weight vector to quantify the severity of violations. Third, we develop the constraint diversity factor, an adaptive version of the constraint weight vector, which adapts as the frequency of constraint violations changes. Extensive experimental evaluations validate the effectiveness of our methods, demonstrating their applicability across a wide range of constrained optimization scenarios. KCI Citation Count: 1 |
| Author | Dam, Tien Minh Truong, Long Viet |
| Author_xml | – sequence: 1 givenname: Tien Minh orcidid: 0009-0006-7683-4476 surname: Dam fullname: Dam, Tien Minh email: tiendm9@viettel.com.vn organization: Viettel High Technology Industries Corporation, a Subsidiary of Viettel Group – sequence: 2 givenname: Long Viet orcidid: 0009-0002-2213-4184 surname: Truong fullname: Truong, Long Viet organization: Viettel High Technology Industries Corporation, a Subsidiary of Viettel Group |
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| CitedBy_id | crossref_primary_10_1007_s12293_025_00471_5 crossref_primary_10_1016_j_swevo_2025_102006 |
| Cites_doi | 10.1109/TEVC.2013.2281535 10.1109/TCYB.2020.3031642 10.1007/s11831-022-09859-9 10.1007/s00500-018-3499-9 10.1109/CEC.2005.1554895 10.1109/TEVC.2022.3194729 10.1080/03052150008941301 10.1162/evco.1994.2.3.221 10.1007/s11081-022-09782-9 10.1109/TEVC.2006.872344 10.1007/s10479-015-2017-z 10.1007/s00521-024-09787-8 10.3844/jcssp.2016.350.362 10.1142/S0218001414590083 10.1007/s12293-023-00393-0 10.1007/BF01743536 10.1109/TSMC.2018.2876335 10.1109/TEVC.2010.2093582 10.1007/s12065-024-00932-9 |
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| DOI | 10.1007/s12555-024-0445-8 |
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| Keywords | constraint handling techniques metaheuristic optimization algorithm Constrained multi-objective evolutionary algorithm constrained multi-objective optimization problem constraint as objectives generalized framework for constraint handling |
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| SubjectTerms | Constraints Control Engineering Genetic algorithms Handling Mechatronics Multiple objective analysis Objectives Optimization Pareto optimum Regular Papers Robotics Violations 제어계측공학 |
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| Title | A Generalized Framework for Multi-objective-based Constraint Handling Technique |
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| Volume | 22 |
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| ispartofPNX | International Journal of Control, 2024, Automation, and Systems, 22(10), , pp.3240-3252 |
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