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Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-019-03887-7
Abstract: In this paper, an adaptive version of $$\beta -$$β-hill climbing is proposed. In the original $$\beta -$$β-hill climbing, two control parameters are utilized to strike the right balance between a local-nearby exploitation and a global…
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Keywords:
optimization;
beta hill;
beta;
adaptive beta ... See more keywords
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Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-020-02047-2
Abstract: Examination timetable is a non-trivial task for administrators of the academic institutions repeated every semester. In terms of optimization, examination timetabling is a combinatorial optimization problem concerned with assigning a set of exams to a…
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Keywords:
examination timetabling;
hill climbing;
hill;
beta hill ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2871557
Abstract: One-dimensional (1-D) chaotic maps have been considered as prominent pseudo-random source for the design of different cryptographic primitives. They have the advantages of simplicity, easy to implement, and low computation. This paper proposes a new…
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Keywords:
hill climbing;
chaotic map;
map;
beta ... See more keywords
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Published in 2019 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2019.2907510
Abstract: Finding and tracking maximum power point are two important dynamics in the control of variable-speed wind turbines since they determine the efficiency of wind turbines. The conventional hill climbing possesses the problems of wrong directionality…
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Keywords:
hill climbing;
wind turbines;
maximum power;
control ... See more keywords
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Published in 2020 at "Algorithms"
DOI: 10.3390/a13060138
Abstract: This paper considers the general lot sizing and scheduling problem with rich constraints exemplified by means of rework and lifetime constraints for defective items (GLSP-RP), which finds numerous applications in industrial settings, for example, the…
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Keywords:
hill climbing;
late acceptance;
problem;
acceptance hill ... See more keywords
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Published in 2023 at "Biomimetics"
DOI: 10.3390/biomimetics8020174
Abstract: Image reconstruction is an interesting yet challenging optimization problem that has several potential applications. The task is to reconstruct an image using a fixed number of transparent polygons. Traditional gradient-based algorithms cannot be applied to…
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Keywords:
hill climbing;
progressive learning;
learning hill;
image reconstruction ... See more keywords