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Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-017-2603-x
Abstract: Bi-objective constraint-handling technique may be one of the most promising constraint techniques for constrained optimization problems. It regards the constraints as an extra objective and using Pareto ranking as selection operator. These algorithms achieve a…
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Keywords:
constrained optimization;
constraint handling;
handling technique;
constraint ... See more keywords
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Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-019-04077-1
Abstract: In power systems, optimal power flow (OPF) is a complex and constrained optimization problem in which quite often multiple and conflicting objectives are required to be optimized. The traditional way of dealing with multi-objective OPF…
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Keywords:
optimal power;
power flow;
constraint handling;
evolutionary algorithms ... See more keywords
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Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-020-04835-6
Abstract: Over recent decades, several efficient constraint-handling methods have been proposed in the area of evolutionary computation, and the $$\varepsilon $$ ε constraint method is considered as a state-of-the-art method for both single and multiobjective optimization.…
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Keywords:
constraint handling;
violation;
constraint;
combined fitness ... See more keywords
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Published in 2017 at "Memetic Computing"
DOI: 10.1007/s12293-016-0221-2
Abstract: This paper presents a new combined constraint handling framework (CCHF) for solving constrained optimization problems (COPs). The framework combines promising aspects of different constraint handling techniques (CHTs) in different situations with consideration of problem characteristics.…
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Keywords:
constraint handling;
framework;
handling framework;
optimization ... See more keywords
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Published in 2018 at "Renewable Energy"
DOI: 10.1016/j.renene.2018.03.053
Abstract: Abstract Wind farms are frequently located in proximity to human dwellings, natural habitats, and infrastructure making land use constraints and noise matters of increasing concern for all stakeholders. In this study, we perform a constrained…
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Keywords:
constraint handling;
multi objective;
optimization;
constraint ... See more keywords
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Published in 2018 at "Theory and Practice of Logic Programming"
DOI: 10.1017/s1471068418000078
Abstract: Abstract Constraint Handling Rules (CHR) is both an effective concurrent declarative programming language and a versatile computational logic formalism. In CHR, guarded reactive rules rewrite a multi-set of constraints. Concurrency is inherent, since rules can…
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Keywords:
handling rules;
chr;
constraint handling;
concurrency ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3009429
Abstract: Cooperation between Evolutionary Algorithms (EAs) and Constraint Handling Techniques (CHTs) plays an important role in Constrained Optimization Evolutionary Algorithms (COEAs). A constrained composite differential evolution (C2oDE) sets a good example on the cooperation. This paper…
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Keywords:
cooperation evolutionary;
constraint handling;
evolutionary algorithms;
handling techniques ... See more keywords
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Published in 2020 at "Bulletin of Electrical Engineering and Informatics"
DOI: 10.11591/eei.v9i4.2351
Abstract: In this paper, optimal load dispatch problem under competitive electric market (OLDCEM) is solved by the combination of cuckoo search algorithm (CSA) and a new constraint handling approach, called modified cuckoo search algorithm (MCSA). In…
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Keywords:
handling method;
constraint handling;
new constraint;
electric market ... See more keywords
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Published in 2019 at "Journal of Hydroinformatics"
DOI: 10.2166/hydro.2019.121
Abstract: Reservoir scheduling based on evolutionary algorithms needs to handle potentially stringent physical and operational constraints. Both generic and reservoir scheduling problem-specific constraint-handling techniques (CHTs) have their own merits and limitations. No CHT currently available can…
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Keywords:
ensemble constraint;
reservoir scheduling;
constraint handling;
reservoir ... See more keywords