Search Results - global distributions issues algorithm
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Clock Distribution Network Building Algorithm For Multiple Ips In System On A Chip
Published 2017“…When the setup is done, the global CDN is build and routed. The algorithm checks for clock skew and scenic routing issues before proceeding to shield the global CDN to prevent cross-talk issues. …”
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Chaos search in fourire amplitude sensitivity test
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Enhancing the QoS performance for mobile station over LTE and WiMAX networks / Mhd Nour Hindia
Published 2015“…On the first level, bankruptcy and shapely value algorithm fairly distribute resources among smart grid applications. …”
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Optimized routing algorithm for mobile multicast source in Wireless Mesh Networks
Published 2015“…Mobility considerations in multicast algorithm design usually focus issues of mobile receivers while few researches emphasize on mobile multicast sources issues. …”
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Efficient task scheduling strategies using symbiotic organisms search algorithm for cloud computing environment
Published 2022“…To solve the issue of local optima entrapment, the concept of diversifying the local search space by enhancing SOS named eDSOS approach to avoid entrapment in local optima for global convergence. …”
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Modified Parameters of Harmony Search Algorithm for Better Searching
Published 2017“…The harmony search algorithm is classified as a meta-heuristics algorithm that is capable of solving hard and combinatorial or discrete optimisation problems. …”
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Parameter estimation in computational systems biology models: a comparative study of initialization methods in global optimization
Published 2022“…Estimating parameters values is difficult and time-consuming process due to their highly nonlinear and huge number of kinetic parameters involved. Global optimization method based on an enhanced scatter search (ESS) algorithm is a suitable choice to address this issue. …”
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Hybrid MPPT algorithm for mismatch photovoltaic panel application / Muhammad Iqbal Mohd Zakki
Published 2019“…A distributed architecture of MPPT (DMPPT) system is proposed to solve the module mismatched, and partial shading issues. …”
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Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…One of the main issues in genetic k-means based algorithms is their sensitivity to outliers and unevenly distributed clusters due to the mean compromised computations. …”
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Some families of count distributions for modelling zero-inflation and dispersion / Low Yeh Ching
Published 2016“…For parameter estimation, the simulated annealing global optimization routine and an EM-algorithm type approach for maximum likelihood estimation are studied. …”
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Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…Since scheduling and mapping fall into NP problems, and there is no efficient exact solution for solving scheduling and mapping, the second challenge in HPAs is optimization. Meta-heuristic algorithms have widely used in HPAs due to their global optimization ability. …”
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Enhancing harmony search parameters based on step and linear function for bus driver scheduling and rostering problems
Published 2018“…Optimization is a major challenge in numerous practical world problems.According to the “No Free Lunch (NFL)” theorem,there is no existing single optimizer algorithm that is able to resolve all issues in an effective and efficient manner.It is varied and need to be solved according to the specific capabilities inherent to certain algorithms making it hard to foresee the algorithm that is best suited for each problem.As a result,the heuristic technique is adopted for this research as it has been identified as a potentially suitable algorithm.Alternative heuristic algorithms are also suggested to obtain optimal solutions with reasonable computational effort.However,the heuristic approach failed to produce a solution that nears optimum when the complexity of a problem increases;therefore a type of nature-inspired algorithm known as meta-euristics which utilises an intelligent searching mechanism over a population is considered and consequently used.The meta-heuristic approach is widely used to substitute heuristic terms and is broadly applied to address problems with regards to driver scheduling.However,this meta-heuristic technique is still unable to address the fairness issue in the scheduling and rostering problems.Hence,this research proposes a strategy to adopt an amendment of the harmony search algorithm in order to address the fairness issue which in turn will escalate the level of fairness in driver scheduling and rostering.The harmony search algorithm is classified as a meta-heuristics algorithm that is capable of solving hard and combinatorial or discrete optimisation problems.In this respect,the three main operators in harmony search,namely the Harmony Memory Consideration Rate (HMCR),Pitch Adjustment Rate (PAR) and Bandwidth (BW) play a vital role in balancing local exploitation and global exploration.These parameters influence the overall performance of the HS algorithm,and therefore it is crucial to fine-tune them. …”
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Intrusion Detection in Mobile Ad Hoc Networks Using Transductive Machine Learning Techniques
Published 2011“…In particular, issues such as collects real time attack related audit data and cooperative global detection. …”
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Recent advancement of energy internet for emerging energy management technologies: Key features, potential applications, methods and open issues
Published 2024“…Furthermore, the present review focuses on the various issues and challenges of existing energy internet platforms related to safety, security, standards, protocols, costing and complexity as well as provides recommendations for future energy internet toward efficient energy distribution and management. …”
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The rise of “blockchain”: bibliometric analysis of blockchain study
Published 2019“…In particular, this paper discusses various aspects of blockchain research conducted by researchers globally. This study also focuses on the utilization of blockchain and its consensus algorithms. …”
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A Harris hawks optimization based single- and multi objective optimal power flow considering environmental emission
Published 2020“…The electric sector is majorly concerned about the greenhouse and non-greenhouse gas emissions generated from both conventional and renewable energy sources, as this is becoming a major issue globally. Thus, the utilities must adhere to certain environmental guidelines for sustainable power generation. …”
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Development of capability-based virtual cellular manufacturing systems in dual-resource constrained settings over semi-distributed layouts
Published 2012“…The performance of the developed CBVCMSs is improved by utilizing a novel layout namely Semi-Distributed Layouts (SDLs) using Genetic Algorithms (GAs). …”
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Identification of critical factors underpinning banks’ lending relationship quality of SMEs: SMEs perspectives / Tury Retap
Published 2019“…The Small & Medium-sized Enterprises (SMEs) limited access to banks’ lending has been a global issue owing to asymmetric information problem that have negatively affected SMEs opportunity to borrow. …”
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Garra Rufa‐inspired optimization technique
Published 2020“…Also, a multiobjective real issue in power system is tested using the proposed methods where the objectives were cumulative voltage deviation and power losses of three weight sets during the selection allocation of distribution generators. …”
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