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An Efficient Genetic Algorithm for Large Scale Vehicle Routing Problem Subject to Precedence Constraints
Published 2015“…Therefore, it can be stated that the genetic algorithm approach developed in this study is efficient in solving large scale vehicle routing problem subject to precedence constraints with the objective of minimizing the distance travelled.…”
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Performance-aware cost-effective brokering and load balancing algorithms for data center in large scale cloud computing
Published 2015“…In order to make our proposed method cost efficient, we developed Load Aware Over Cost algorithm which is 8% cost effective comparing with Load Aware algorithm. …”
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Energy-efficient algorithms for dynamic virtual machine consolidation in cloud data centers
Published 2017“…Cloud computing has evolved with the development of large-scale data centers, including thousands of servers around the world. …”
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Scale-invariant and adaptive-search template matching for monocular visual odometry in low-textured environment
Published 2016“…Therefore, a new technique and algorithm were developed to resolve the image scale uncertainty. …”
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Integration of fuzzy logic control algorithm in the development of optical fiber daylighting system for energy savings / Fuziah Sulaiman.
Published 2006“…The fuzzy automated lighting and dimming controller was successfully designed and developed. The scale modeling experiments revealed that the passive daylight collector and the larger diameter of 14 mm solid core endlight polymer optical fibres are most suitable for tropical climate. …”
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New Quasi-Newton Equation And Method Via Higher Order Tensor Models
Published 2010“…Moreover, a new limited memory QN method to solve large scale unconstrained optimization is developed based on the modified BFGS updated formula. …”
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Development of bi-objective optimization model for supply chain network design using data envelopment analysis
Published 2017“…The developed model and solution method show excellence performance in terms of CPU time for the large scale. …”
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Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…Adopting the medoid instead of the mean can enhance the efficiency. However, the complexity of the kmedoid based algorithms in general is more than the complexity of the k-means based algorithms. …”
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A Survey on Distributed Topology Control Techniques for Extending the Lifetime of Battery Powered Wireless Sensor Networks
Published 2013“…First, we review the significant topology control algorithms to provide insights into how energy efficiency is achieved by design. …”
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Analysing small scale distribution generation PV and wind system in islanded mode
Published 2021“…The performance of the PV array is analysed in terms of the MPPT efficiency, and MPPT successfully tracks the array rated power to be 298 W, where the efficiency of the algorithm is 99%. …”
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DESIGN AND EVALUATION OF RESOURCE ALLOCATION AND JOB SCHEDULING ALGORITHMS ON COMPUTATIONAL GRIDS
Published 2012“…The issue is not only to develop new algorithms, but also to evaluate them on an experimental computational grid, using synthetic and real workload traces, along with the other existing job scheduling algorithms. …”
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Evolutionary Algorithms In Auction Models Of Service Procurement
Published 2019“…However, previous researchers focused on solving mixed integer model for the CA based WDP, which is not efficient for large scale instance. Therefore, this research proposed an implementation of genetic algorithm (GA) with knowledge based operators as an alternative to approximate the solution.…”
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Real Coded Genetic Algorithm (RCGA): a new RCGA mutator called Scale Truncated Pareto Mutation
Published 2014“…This paper presents a comparison in the performance analysis between a newly developed mutation operator called Scaled Truncated Pareto Mutation (STPM) and an existing mutation operator called Log Logistic Mutation (LLM). …”
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Multilevel optimization for dense motion estimation
Published 2011“…We evaluated the performance of different optimization techniques developed in the context of optical flow computation with different variational models.In particular, based on truncated Newton methods (TN) that have been an effective approach for large-scale unconstrained optimization, we developed the use of efficient multilevel schemes for computing the optical flow.More precisely, we evaluated the performance of a standard unidirectional multilevel algorithm - called multiresolution optimization (MR/Opt), to a bidrectional multilevel algorithm - called full multigrid optimization (FMG/Opt).The FMG/Opt algorithm treats the coarse grid correction as an optimization search direction and eventually scales it using a line search. …”
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Load-Balancing Models for Scheduling Divisible Load on Large Scale Data Grids
Published 2009“…The third stage integrates the proposed DLT based models with GA algorithm to solve the time consuming problem. In addition, the integration of the proposed DLT model with Simulated Annealing (SA) algorithm has been also developed. …”
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Improving Support Vector Machine Performance using Modified Similarity Distance Plotting-Data Reduction
Published 2025“…Its potential applications extend to large-scale data analysis, big data environments, and real-time machine learning systems where computational efficiency is critical.…”
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Modified spectral clustering algorithm for semisupervised face annotation modeling
Published 2025“…The research streamlines annotation, reduces manual work, boosts facial recognition performance (98.97% purity), and contributes to computer vision and AI with efficient large-scale face annotation solutions, developing two models.…”
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Design And Evaluation Of A Modified Csma/Cd Mac Protocol On Single-Channel Optical Local Area Network
Published 2003“…The algorithm was developed in Visual Basic 6.0v programming language. …”
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