بدائل البحث:
modeling algorithm » scheduling algorithm (توسيع البحث)
fluent modeling » agent modeling (توسيع البحث), event modeling (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
cost » most (توسيع البحث)
finding » findings (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
fluent modeling » agent modeling (توسيع البحث), event modeling (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
cost » most (توسيع البحث)
finding » findings (توسيع البحث)
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1
Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling
منشور في 2017"…However, implementation of this approach is difficult using custom built codes and algorithms. In this paper, we present an FSI modeling methodology for aortic valve hemodynamics using a commercial modeling software, ANSYS. …"
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2
Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling
منشور في 2017"…However, implementation of this approach is difficult using custom built codes and algorithms. In this paper, we present an FSI modeling methodology for aortic valve hemodynamics using a commercial modeling software, ANSYS. …"
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3
Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem
منشور في 2023"…In particular, a new modified method based on the Arithmetic Optimization Algorithm is proposed. The optimization is applied to a formulated cost function that considers uncertainty, false alarms, and existing clutters. …"
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4
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5
Bird’s Eye View feature selection for high-dimensional data
منشور في 2023"…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"
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6
Incremental Genetic Algorithm
منشور في 2006"…Classical Genetic Algorithms (CGA) are known to find good sub-optimal solutions for complex and intractable optimization problems. …"
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7
Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning
منشور في 2006"…These heuristics are based on Genetic Algorithms (GAs), Tabu Search (TS) and Simulated Evolution (SimE). …"
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8
Parallel genetic algorithm for disease-gene association
منشور في 2011"…However, a major limitation in association studies is the cost of genotyping SNPs. Therefore, finding a small subset of tag SNPs to be used as good representatives of the rest of the SNPs is essential. …"
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conferenceObject -
9
Incremental & classical genetic algorithm. (c2001)
منشور في 2001احصل على النص الكامل
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masterThesis -
10
Evolutionary algorithms for VLSI multi-objective netlist partitioning
منشور في 2006"…These heuristics are based on Genetic Algorithms (GAs), Tabu Search (TS) and Simulated Evolution (SimE). …"
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11
Fuzzy simulated evolution algorithm for topology design of campusnetworks
منشور في 2000"…Results show that on all test cases the simulated evolution algorithm exhibits more intelligent search of the solution subspace and was able to find better solutions than simulated annealing…"
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12
A genetic algorithm approach for regrouping service sites
منشور في 2004"…In the first phase, the graph is decomposed into the required number of subgraphs (regions) using a tuned hybrid genetic algorithm. The second phase finds a suitable center within each region by using a heuristic algorithm. …"
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13
A hybrid genetic algorithm for task allocation in multicomputers
منشور في 2018"…A hybrid genetic algorithm for the task allocation problem (HGATA) in multicomputers is presented. …"
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conferenceObject -
14
An evolutionary algorithm for solving the geometrically constrained site layout problem
منشور في 2017"…This paper presents an investigation of applying an evolutionary approach to optimally solve the aforementioned layout problem. The proposed algorithm is two-phases: an initialization phase that generates an initial population of layouts through a sequence of mutation operations, and a reproduction phase that evolve the layouts generated in phase one through a sequence of genetic operations aiming at finding an optimal layout. …"
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conferenceObject -
15
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16
A FUZZY EVOLUTIONARY ALGORITHM FOR TOPOLOGY DESIGN OF CAMPUS NETWORKS
منشور في 2020"…Results show that on all test cases, the Simulated Evolution algorithm exhibits a more intelligent search of the solution subspace and was able to find better solutions than Simulated Annealing and Esau–Williams algorithm. …"
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17
Genetic and heuristic algorithms for regrouping service sites. (c2000)
منشور في 2000احصل على النص الكامل
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masterThesis -
18
A new simulated annealing-based tabu search algorithm for unitcommitment
منشور في 1997"…The algorithm includes a step to find an initial control parameter, at which virtually all trial solutions are accepted. …"
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19
Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images
منشور في 2023"…These techniques work well for bi-level thresholding, but when used to find the appropriate thresholds for multi-level thresholding, there will be issues with long calculation times, high computational costs, and the need for accuracy improvements. …"
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20
Genetic Algorithm for Solving Site Layout Problem with Unequal-Size and Constrained Facilities
منشور في 2002"…The proposed genetic algorithm generates an initial population of layouts through a sequence of mutation operations and evolves the layouts of this population through a sequence of genetic operations aiming at finding an optimal layout. …"
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