Search Results - (( global optimization method algorithm ) OR ( initial evaluation method algorithm ))
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1
A firefly algorithm based hybrid method for structural topology optimization
Published 2020“…In this paper, a firefly algorithm based hybrid algorithm through retaining global convergence of firefly algorithm and ability to generate connected topologies of optimality criteria (OC) method is proposed as an alternative method to solve stress-based topology optimization problems. …”
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2
Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…In general, genetic based clustering algorithms showed the ability to reach near global optimal solution. …”
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3
An Integrated RRT*SMART-A* Algorithm for solving the Global Path Planning Problem in a Static Environment
Published 2023“…However, before RRT*-Smart is combined with A*, it is improved by replacing the random sampling method with Fast Sampling. In short, by involving A*, the exploration process for generating the Smart-RRT*’s initial path can be supported. …”
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AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT
Published 2023“…However, before RRT*-Srnart is combined •...ith A*, it is improved by replacing the random sampling method with Fast Sampling. In short, by involving A*. the exploration process for generating the .mart-RRT*'s initial path can be supported. …”
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5
AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT
Published 2023“…However, before RRT*-Srnart is combined •...ith A*, it is improved by replacing the random sampling method with Fast Sampling. In short, by involving A*. the exploration process for generating the .mart-RRT*'s initial path can be supported. …”
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6
AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT
Published 2023“…However, before RRT*-Srnart is combined •...ith A*, it is improved by replacing the random sampling method with Fast Sampling. In short, by involving A*. the exploration process for generating the .mart-RRT*'s initial path can be supported. …”
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7
Disparity map algorithm for stereo matching process using local based method
Published 2022“…These input images have different viewpoints that corresponds with each other, forming a two-dimensional mapping of matching pixels and is known as disparity map. The SVDM algorithm can be categorized into local, semi global and global methods. …”
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8
Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur’s entropy
Published 2014“…To overcome this problem, two successful swarm-intelligence-based global optimization algorithms, cuckoo search (CS) algorithm and wind driven optimization (WDO) for multilevel thresholding using Kapur’s entropy has been employed. …”
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AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT
Published 2023“…However, before RRT*-Srnart is combined •...ith A*, it is improved by replacing the random sampling method with Fast Sampling. In short, by involving A*. the exploration process for generating the .mart-RRT*'s initial path can be supported. …”
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10
AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT
Published 2023“…However, before RRT*-Smart is combined •...ith A*, it is improved by replacing the random sampling method with Fast Sampling. In short, by involving A*. the exploration process for generating the .mart-RRT*'s initial path can be supported. …”
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11
AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT
Published 2023“…However, before RRT*-Smart is combined •...ith A*, it is improved by replacing the random sampling method with Fast Sampling. In short, by involving A*. the exploration process for generating the .mart-RRT*'s initial path can be supported. …”
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12
Improved cuckoo search based neural network learning algorithms for data classification
Published 2014“…This exploration and exploitation method followed in the proposed HACPSO algorithm makes it to converge to global optima with more efficiency than the original Cuckoo Search (CS) algorithm. …”
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13
Disparity map algorithm using hierarchical of bitwise pixel differences and segment-tree from stereo image
Published 2024“…The algorithm development can be categorized into local, global, and semi-global methods. …”
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14
Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…In this research, two novel estimation-based metaheuristic optimization algorithms, named as Simulated Kalman Filter (SKF), and single-solution Simulated Kalman Filter (ssSKF) algorithms are introduced for global optimization problems. …”
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15
Low Complexity Error Correction in Low Density Parity Check (LDPC) Code Decoder and Encoder for Decode and Forward Cooperative Wireless Communication
Published 2021“…By using the optimization min-sum belief propagation approach, a low complexity min-sum (MS) based decoding algorithm called Variable Global Optimization Min-Sum (VGOMS) has been developed. …”
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16
AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT
Published 2023“…However, before RRT*-Srnart is combined •...ith A*, it is improved by replacing the random sampling method with Fast Sampling. In short, by involving A*. the exploration process for generating the .mart-RRT*'s initial path can be supported. …”
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17
AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT
Published 2023“…However, before RRT*-Smart is combined •...ith A*, it is improved by replacing the random sampling method with Fast Sampling. In short, by involving A*. the exploration process for generating the .mart-RRT*'s initial path can be supported. …”
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18
Incremental interval type-2 fuzzy clustering of data streams using single pass method
Published 2020“…The performance of the proposed method is evaluated on large real-life datasets. The results obtained from several fuzzy cluster validity index measures show the enhanced performance of the proposed method over other clustering algorithms. …”
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Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…Any optimization algorithm is suitable for only a specific domain of optimization problems. …”
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20
Hybrid-discrete multi-objective particle swarm optimization for multi-objective job-shop scheduling
Published 2022“…This research first proposes an improved continuous MOPSO to address the rapid clustering problem that exists in the basic PSO algorithm using three improvement strategies: re-initialization of particles, systematic switch of best solutions and mutation on global best selection. …”
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