Search Results - (( optimal ((drop algorithm) OR (graph algorithm)) ) OR ( optical code algorithm ))

Benchmark simulator with dynamic environment for job scheduling in grid computing by Ku-Mahamud, Ku Ruhana

“…Job scheduling algorithm has a significant influence on grid computing performance. …”
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Analysis and modeling of database storage optimization power consumption usage for green data centers by Wan Noor Hamiza, Wan Ali

“…The proxies can be discovered by using a developed algorithm of functional dependencies (FDs) called as TANE algorithm. …”
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Ant colony optimization based subset feature selection in speech processing: Constructing graphs with degree sequences by Rajesvary Rajoo R., Salam R.A.

Design and development of optimal path trace back using graph theory technique for accelerate DNA sequence alignment accelerator: article by Othman, Nor Shuhaida

“…The Smith-Waterman is been simplified into four modules which were initialization, score calculation, matrix filling and optimal path. The scope of the paper based on optimal path trace back using graph theory. …”
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Synthesis of transistor-chaining algorithm for CMOS cell layout using bipartite graph / Azizi Misnan by Misnan, Azizi

“…Searching for possible abutment between the transistor pairs are modelled as a bipartite graph. A depth - first search algorithm is used to search for optimal chaining. …”
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Approximate methods for minimum vertex cover fail to provide optimal results on small graph instances: A review by Fayaz, Muhammad, Arshad, Shakeel, Shah, Abdul Salam, Shah, Asadullah

“…The key contribution of this paper is the provision of small benchmark graphs on which the given approximation algorithms fail to provide optimal results. …”
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Design and development of optimal path trace back using graph theory technique for accelerate DNA sequence alignment accelerator by Othman, Nor Shuhaida

“…The Smith-Waterman is been simplified into four modules which were initialization, score calculation, matrix filling and optimal path. The scope of the paper based on optimal path trace back using graph theory. …”
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Solving university examination timetabling problem using intelligent water drops algorithm by Aldeeb B.A., Norwawi N.M., Al-Betar M.A., Jali M.Z.B.

Subjects: “…Intelligent water drops algorithm…”

Optimizing boarding school schedule using graph colouring : case study of Sekolah Menengah Sultan Abdul Halim / Nur Farhana Mohd Asri by Mohd Asri, Nur Farhana

“…The result has shown that the Greedy Algorithm has succeeded to produce the lowest minimal color compared to Graph Coloring Algorithm. …”
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Optimizing boarding school schedule using graph coloring: case study of Sekolah Menengah Sultan Abdul Halim / Nur Farhana Mohd Asri by Mohd Asri, Nur Farhana

“…The result has shown that the Greedy Algorithm has succeeded to produce the lowest minimal color compared to Graph Coloring Algorithm. …”
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Graph theory approach for managing lecturers’ schedule using graph colouring method / Siti Nor Ba Basri, Nur Su’aidah Khozaid and Farhana Hazwani Ismail by Basri, Siti Nor Ba, Khozaid, Nur Su’aidah, Ismail, Farhana Hazwani

“…By using graph theory, graph colouring techniques, and ILP validation, this work optimizes lecturers' timetable scheduling, resolving conflicts, omissions, limitations, and preferences for optimal educational scheduling and resource allocation. …”
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Modified And Ensemble Intelligent Water Drop Algorithms And Their Applications by O. F. Alijla, Basem

“…The Intelligent Water Drop (IWD) algorithm is a swarm-based model that is useful for undertaking optimization problems. …”
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Intelligent Examination Timetabling System Using Hybrid Intelligent Water Drops Algorithm by AlDeeb, BA, Norwawi, NM, Al-Betar, MA, Jali, MZ

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The Half-t adaptive error correction algorithm for SDH-based WDM optical networks by Cheah, Cheng Lai, Abdullah, Mohamad Khazani

“…This paper proposes an adaptive forward error correction (FEC) algorithm, referred to as the Half-t algorithm for synchronous digital hierarchy (SDH) based wavelength division multiplexing (WDM) optical networks. …”
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African Buffalo Optimization (ABO): A New Metaheuristic Algorithm by Odili, Julius Beneoluchi, M. N. M., Kahar

“…The African Buffalo Optimization (A.B.0) algorithm simulates the African buffalos' behaviour by encapsulation in a mathematical model; which solves a number of discrete optimization problems using graph-based route planning, job scheduling and it extends Swarm Intelligence paradigms. …”
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IWDSA: a hybrid Intelligent Water Drops with a Simulated Annealing for the localization improvement in wireless sensor networks by Gumaida, Bassam, Ibrahim, Adamu Abubakar

“…The proposed algorithm, named Intelligent Water Drops with Simulated Annealing (IWDSA), combines two powerful optimization methods: Intelligent Water Drops (IWD) and Simulated Annealing (SA). …”
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A comparative analysis of Prim, Kruskal, and Reverse-Delete algorithms in optimizing routes within Terengganu’s and Pahang’s attraction road network / Munashahira Mohammad Zahid... by Mohammad Zahid, Munashahira

“…The Reverse-Delete algorithm works in reverse; it starts with the full graph and iteratively removes the largest edges, ensuring that the graph remains connected. …”
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Optimizing kindergarten schedule using : graph coloring / Nur Nabilah Salleh Muner by Salleh Muner, Nur Nabilah

“…The greedy algorithm was used to color the graph and it was supported by the C++ program. …”
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Variable weight Khazani-Syed code using hybrid fixed-dynamic technique for optical code division multiple access system by Ahmad Anas, Siti Barirah, Seyedzadeh, Saleh, Mokhtar, Makhfudzah, Sahbudin, Ratna Kalos Zakiah

“…This paper proposes a coding algorithm to support optical domain service differentiation using spectral amplitude coding techniques within an optical code division multiple access (OCDMA) scenario. …”
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Optimization of electrical wiring design in buildings using particle swarm optimization and genetic algorithm / Tuan Ahmad Fauzi Tuan Abdullah by Tuan Ahmad Fauzi, Tuan Abdullah

“…In this project, the main objective is to optimize the electrical distribution system design in buildings using optimization methods, which are Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). …”
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