Search Results - (( simulation using greedy algorithm ) OR ( java implication based algorithm ))

A semi greedy soft real-time multiprocessor scheduling algorithm by Alhussian, Hitham, Zakaria, Mohd Nordin, Hussin, Fawnizu Azmadi

“…Unlike the current algorithms which are known to be greedy, our proposed algorithm uses a semi-greedy criteria to schedule tasks. …”
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Performance analysis of resource allocation downlink for MIMO-OFDMA system using greedy algorithm / Azrinawati Samaon by Samaon, Azrinawati

“…Simulation results show that the proposed algorithm can improve the capacity of the network compared with the water-filling when using signal-to-noise ratio (SNR) with value 6dB. …”
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Performance analysis of resource allocation downlink for MIMO-OFDMA system using Greedy algorithm. / Azrinawati Samaon by Samaon, Azrinawati

“…Simulation results show that the proposed algorithm can improve the capacity of the network compared with the waterfdling when using signal-to-noise ratio (SNR) with value 6dB. …”
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A semi greedy soft real-time multiprocessor scheduling algorithm by Alhussian, H., Zakaria, N., Hussin, F.A., Bahbouh, H.T.

“…Unlike the current algorithms which are known to be greedy, our proposed algorithm uses a semi-greedy criteria to schedule tasks. …”
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Simulated annealing algorithm for solving chambering student-case assignment problem by Ghazali, Saadiah, Abdul Rahman, Syariza

“…The objective of the study is to minimize the total completion time for all students in solving the given cases.This study employed a minimum cost greedy heuristic in order to construct a feasible initial solution.The search then is preceded with a simulated annealing algorithm for further improvement of solution quality.The analysis of the obtained result has shown that the proposed simulated annealing algorithm has greatly improved the solution constructed by the minimum cost greedy heuristic. …”
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GSAR: Greedy Stand-Alone Position-Based Routing protocol to avoid hole problem occurance in Mobile Ad Hoc Networks by Al-Shugran, Mahmoud Ali

“…Both mechanisms were integrated into the conventional GFS to form Greedy Stand-Alone Routing (GSAR) protocol. Evaluations of GSAR were performed using network simulator Ns2 based upon a defined set of performance metrics, scenarios and topologies. …”
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A Grid-Based Reliable Routing (GBRR) protocol for wireless sensor networks by Jiang, Cailing

“…In this research, collaborated with clustering and grid-based routing features, the proposed protocol uses a combination of clustering protocols and geographical protocols with greedy algorithm to accomplish the scalability and adaptability of the randomly deployed sensor networks in a dense and large-scale network. …”
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Simulation Of Path Optimisation Algorithms by Sim, Choon Yeee

“…The main concern is to find and calculate the shortest distance from one node to another in the most efficient way. 3 algorithms (A* algorithm, Dijkstra algorithm and Greedy algorithm) and 2 concepts (Bidirectional Searching and Replanning) are explored and simulated. …”
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Improving utility and recovery algorithms for adaptive real time system in multiprocessor environment by Ahmad, Idawaty

“…GPUAS enhanced the task placement mechanism in G-GUA and NGGUA algorithms. From the simulation results, GPUAS outperforms the existing G-GUA algorithm. …”
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A Non-preemptive Utility Accrual Scheduling Algorithm in iAdaptive Real Time System by Ahmad, Idawaty, Othman, Muhammad Fauzan

“…We consider the independent task models that are subject to deadline constraints specified using step Time/Utility Functions (or TUFs). The main idea of our proposed algorithm is to reduce the unnecessary abortions by eliminating the greedy scheduling decision identified in GUS. …”
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Optimal Sensing for Opportunistic Spectrum Access in Cognitive Radio by Armi, Nasrullah, M Saad, M Naufal, Yusoff, Mohd Zuki, Arshad, Muhammad

“…Computer simulation is used to evaluate the performances both of optimal and sub optimal strategy.…”
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Scheduling algorithm for multiuser diversity in urban area / Hamizah Mohd Mahayudin by Mohd Mahayudin, Hamizah

“…The performance of these algorithms is analysed and compared through MATLAB computer simulations.…”
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Hybrid test redundancy reduction strategy based on global neighborhood algorithm and simulated annealing by Kamal Z., Zamli, Norasyikin, Safieny, Fakhrud, Din

“…There are already many works in the literature exploiting the greedy computational algorithms as well as the meta-heuristic algorithms, but no single strategy can claim dominance in terms of test data reduction over their counterparts. …”
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Information Theoretic-based Feature Selection for Machine Learning by Muhammad Aliyu, Sulaiman

“…The second test evaluates IFS in a controlled study using simulated datasets. Moreover, the third test used ten natural domain datasets obtained from UCI Repository, in about fifteen different experiments, using three to four different Machine Learning Algorithms for performance evaluation. …”
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Efficient signaling schedule for centralized and distributed scheduling algorithms for wimax multi-hop relay networks by Saqer, Ahmad Sabri Mousa

“…In order to evaluate the proposed algorithms and validate their efficiency for IEEE 802.16j networks, the authors simulated the algorithms in QualNet simulator. …”
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Reliable Path Selection Packet Forwarding Routing Protocol for Vehicular Adhoc Networks by Irshad Ahmed, Abbasi

“…The performance of the protocol is assessed through GloMoSim and VanetMobiSim simulators. According to the simulation analysis, RPSPF protocol exhibits higher packet delivery ratio by 40%, 30%, 25% and 18%. …”
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Integration Of Travel Time Zone For Optimal Siting Of Emergency Facilities by Indriasari, Vini

“…Fire stations in Jakarta Selatan were chosen for simulation. Two algorithms, Greedy Adding (Add) and Greedy Adding with Travel Time Evaluation (GAT), were applied to solve the optimization problem of the MSAP. …”
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MAC Protocol for Opportunistic Spectrum Access in Cognitive Radio System by Armi, Nasrullah, M Saad, M Naufal, Yusoff, Mohd Zuki, Arshad, Muhammad

“…Furthermore, we study tractable greedy algorithm to reduce the complexity of POMDP calculation. …”
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Intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm by Ibrahim, Hamidah, Yasin, Waheed, Abdul Hamid, Nor Asilah Wati, Udzir, Nur Izura

“…Moreover, cache pollution is a drawback of traditional web caching policies such as Least Frequently Used (LFU), Least Recently Used (LRU), and Greedy Dual Size (GDS) where web objects that are stored in the cache are not visited frequently. …”
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Smart geographical routing protocol achieving high QoS and energy efficiency based for wireless multimedia sensor networks by Hussein, Wael Ali, Mohd Ali, Borhanuddin, A. Rasid, Mohd Fadlee, Hashim, Fazirulhisyam

“…In this paper, we present a routing algorithm that provides a low end-to-end packet delay and low packet loss, referred to as smart, greedy forwarding algorithm based on throughput and energy-awareness (SGFTEM). …”
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