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pollination algorithm » optimization algorithm (Expand Search)
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161
Tuning of AGC of interconnected reheat thermal systems with geneticalgorithms
Published 1995“…This paper deals with the application of genetic algorithms for optimizing the automatic generation control (AGC) systems. …”
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162
Complexity Avoidance using Biological Resemblance of Modular Multivariable Structure
Published 2014“…GFT (Genetic Fuzzimetric Technique) is of no exception which merges Fuzzy logic with genetic algorithm to achieve the optimization of the decision making process under uncertainty. …”
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conferenceObject -
163
Scheduling and allocation in high-level synthesis using stochastic techniques
Published 2020“…Scheduling and allocation can be formulated as an optimization problem. In this work, a unique approach to scheduling and allocation problem using the genetic algorithm (GA) is described. …”
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164
A simulated evolution approach to task-matching and scheduling in heterogeneous computing environments
Published 2020“…Workloads are characterized according to the connectivity, heterogeneity, and communication-to-cost ratio of the task graphs representing the application tasks. The performance of SE is compared with a genetic algorithm approach for the same problem with respect to the quality of solutions generated, and timing requirements of the algorithms. r 2003 Elsevier Science Ltd. …”
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165
The Generalization of Bidirectional Dual Active Bridge DC/DC Converter Modulation Schemes: State-of-the-Art Analysis under Triple Phase Shift Control
Published 2023“…Additionally, a generic optimization algorithm is developed to show the advantages of TPS modulation, and thus, the analysis in this paper offers a valuable insight for single-phase DAB converter designers in identifying a wide range of optimization algorithms to achieve higher efficiency under TPS modulation. …”
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166
Design of A Theoretical Framework For A Real-Time Fire Evacuation Guidance System
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doctoralThesis -
167
A new bi-objective model of the urban public transportation hub network design under uncertainty
Published 2019“…Since exact values of some parameters are not known in advance, a fuzzy multi-objective programming based approach is proposed to optimally solve small-sized problems. For medium and large-sized problems, a meta-heuristic algorithm, namely multi-objective particle swarm optimization is applied and its performance is compared with results from the non-dominated sorting genetic algorithm. …”
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168
The Use of Microwave Tomography in Bone Healing Monitoring
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doctoralThesis -
169
On the parameterized parallel complexity and the vertex cover problem
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conferenceObject -
170
Power system output feedback stabilizer design via geneticalgorithms
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171
Simulated evolution for timing and low power VLSI standard cell placement
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172
Cooperative clustering models for Vehicular ad hoc networks. (c2013)
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masterThesis -
173
Protein structure prediction in the 3D HP model
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conferenceObject -
174
Second-order conic programming for data envelopment analysis models
Published 2022“…Indeed, the aforesaid method is based on mathematical optimization. This paper constructs a second-order conic optimization problem unifying several DEA models. …”
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175
Enhancement of two-dimensional holographic images by resolutionimprovement through hologram aperture expansion
Published 1989“…The application of the 1-D aperture expansion algorithm to 2-D holograms is demonstrated for the cases of 1-point, 2-point, and quasi-continuous objects in the presence of noise. …”
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176
A learning approach for prioritized handoff channel allocation in mobile multimedia networks
Published 2006“…In this paper we study the application of a reinforcement-learning algorithm to develop an alternative channel allocation scheme in mobile cellular networks that supports multiple heterogeneous traffic classes. …”
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177
Morphology for Planar Hexagonal Modular Self-Reconfigurable Robotic Systems
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doctoralThesis -
178
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179
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180
UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices
Published 2019“…Then, we develop an effective sub-optimal algorithm based on successive convex approximation in order to obtain results for larger network scenarios. …”
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