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constrained optimization » unconstrained optimization (Expand Search), inspired optimization (Expand Search)
constrained optimization » unconstrained optimization (Expand Search), inspired optimization (Expand Search)
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441
Power system output feedback stabilizer design via geneticalgorithms
Published 1997“…A digital simulation of the power system is then used in conjunction with the genetic algorithm to determine the output feedback gains. In the second method, the problem of selecting the output feedback gains is converted to a simple optimization problem with an eigenvalue based objective function, which is solved by a genetic algorithm. …”
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442
Definition and selection of fuzzy sets in genetic‐fuzzy systems using the concept of fuzzimetric arcs
Published 2008“…Design/methodology/approach – The design was based on two principles: selection and optimization. …”
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443
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 -
444
Data Generation for Path Testing
Published 2004“…These algorithms are based on an optimization formulation of the path testing problem which include both integer- and real-value test cases. …”
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445
Protein structure prediction in the 3D HP model
Published 2009“…In this paper, we present a Particle Swarm Optimization (PSO) based algorithm for predicting protein structures in the 3D HP model. …”
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conferenceObject -
446
FAST FUZZY FORCE-DIRECTED/SIMULATED EVOLUTION METAHEURISTIC FOR MULTIOBJECTIVE VLSI CELL PLACEMENT
Published 2006“…SE is hybridized with force directed algorithm to speed-up the search. The proposed schemes are compared with previously presented SE based heuristics. …”
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447
Cost-Benefit Analysis of Genotype-Guided Interruption Days in Warfarin Pre-Procedural Management
Published 2022“…The benefit of the interventional algorithm was based on estimated reduction in the probabilities of clinical events and their cost, added to the avoided cost because of canceled procedures. …”
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448
Spacecraft spin axis attitude determination
Published 1992“…Two algorithms are developed and compared by simulation. …”
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449
The multi-parameterized cluster editing problem
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conferenceObject -
450
Cost-Benefit Analysis of Genotype-Guided Interruption Days in Warfarin Pre-Procedural Management
Published 2023“…The benefit of the interventional algorithm was based on estimated reduction in the probabilities of clinical events and their cost, added to the avoided cost because of canceled procedures. …”
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451
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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452
Localization of Damages in Plain And Riveted Aluminium Specimens using Lamb Waves
Published 2018“…The genetic optimization (GO) method is used to further refine the location of damage within the enclosed area obtained using astroid algorithm. …”
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453
Morphology for Planar Hexagonal Modular Self-Reconfigurable Robotic Systems
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doctoralThesis -
454
Genetic Fuzzimetric Technique (GFT)
Published 2012“…Integration of fuzzy systems with genetic algorithm has been identified by researchers as a useful technique of optimizing systems under uncertainty. …”
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455
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Finite state machine state assignment for area and power minimization
Published 2006“…A fuzzy-based aggregation function is employed to combine the two objectives. …”
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457
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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 -
460