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motor optimization » dog optimization (Expand Search), mongoose optimization (Expand Search), monkey optimizations (Expand Search)
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421
Boosting the Training of Neural Networks Through Hybrid Metaheuristics
Published 2022“…In this paper, six versions of memetic algorithms (MAs) are proposed to replace gradient descent learning mechanism of MLP where adaptive β�-hill climbing (Aβ�HC) as a local search algorithm is hybridized with six population-based metaheuristics which are hybrid flower pollination algorithm, hybrid salp swarm algorithm, hybrid crow search algorithm, hybrid grey wolf optimization (HGWO), hybrid particle swarm optimization, and hybrid JAYA algorithm. …”
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422
A METHODOLOGY FOR NETWORK TOPOLOGY DESIGN USING FUZZY EVALUATIONS
Published 2020“…In this paper, we present a methodology to address design issues. This methodology is based on two algorithms, namely, fuzzy simulated evolution algorithm and the augmenting path algorithm. …”
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423
A linear programming approach for the weighted graph matchingproblem
Published 1993“…A linear program is obtained by formulating the graph matching problem in L1 norm and then transforming the resulting quadratic optimization problem to a linear one. The linear program is solved using a simplex-based algorithm. …”
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424
GENETIC SCHEDULING OF TASK GRAPHS
Published 2020“…The problem of assigning tasks to processing elements as a combinatorital optimization is formulated, and a heuristic based on a genetic algorithm is presented. …”
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425
A LINEAR-PROGRAMMING APPROACH FOR THE WEIGHTED GRAPH MATCHING PROBLEM
Published 2020“…A linear program is obtained by formulating the graph matching problem in L1 norm and then transforming the resulting quadratic optimization problem to a linear one. The linear program is solved using a Simplex-based algorithm. …”
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426
Final exams scheduling for univeristies. (c2001)
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masterThesis -
427
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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428
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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429
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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430
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 -
431
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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432
2022 IEEE Congress on Evolutionary Computation (CEC)
Published 2022“…RL is used to select the best-performing action among three of them in the optimization process to evolve a set of solution based on the population state and reward value. …”
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433
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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434
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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435
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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436
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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437
Morphology for Planar Hexagonal Modular Self-Reconfigurable Robotic Systems
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doctoralThesis -
438
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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conferenceObject -
439
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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440