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constrained optimization » unconstrained optimization (Expand Search), inspired optimization (Expand Search)
motor optimization » dog optimization (Expand Search), mongoose optimization (Expand Search), monkey optimizations (Expand Search)
constrained optimization » unconstrained optimization (Expand Search), inspired optimization (Expand Search)
motor optimization » dog optimization (Expand Search), mongoose optimization (Expand Search), monkey optimizations (Expand Search)
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61
Spacecraft spin axis attitude determination
Published 1992“…Two algorithms are developed and compared by simulation. …”
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62
The multi-parameterized cluster editing problem
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conferenceObject -
63
Privacy-Preserving Fog Aggregation of Smart Grid Data Using Dynamic Differentially-Private Data Perturbation
Published 2022“…A significant body of work in the literature employs differential privacy methods with constraining predefined parameters to achieve the optimal trade-off between privacy and utility of the data. …”
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64
UAV-Aided Projection-Based Compressive Data Gathering in Wireless Sensor Networks
Published 2018“…We formulate a joint optimization problem and divide it into four complementary subproblems to generate close-to-optimal results with lower complexity. …”
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65
3D deployment of UAVs in wireless networks for traffic offloading and edge computing. (c2019)
Published 2019“…This being said, computation tasks generated by IoT devices can be pro- cessed in less latency and with much lower energy consumption at the devices. To optimally deploy UAVs as mounted cloudlets, we formulate our problem as mixed integer program and then use an e cient meta-heuristic algorithm to generate optimized results for large scale IoT networks. …”
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masterThesis -
66
MoveSchedule
Published 1995“…The layout construction algorithm that underlies MoveSchedule uses Constraint Satisfaction to find the set of all positions that meet the constraints on resources' positions and Linear Programming to find the optimal positions that minimize resource transportation and relocation costs. …”
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masterThesis -
67
Parameterization and compensation of friction forces using geneticalgorithms
Published 1999“…A PI controller with parameters optimized using genetic algorithms is used to control the position of a DC motor with friction. …”
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article -
68
Hybrid deep learning based threat intelligence framework for Industrial IoT systems
Published 2025“…The proposed approach was also compared against several contemporary deep learning-based architectures and existing benchmark algorithms. The results indicate that the proposed method achieves superior detection accuracy, with only a minimal compromise in speed efficiency. …”