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Browsing SoAS - Scholarly Publications by Author "Mansour, Nashat"

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Browsing SoAS - Scholarly Publications by Author "Mansour, Nashat"

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  • Allocating data to distributed-memory multiprocessors by genetic algorithms 
    Mansour, Nashat; Fox, Geoffrey C. (2016-01-25)
    We present three genetic algorithms (GAs) for allocating irregular data sets to multiprocessors. These are a sequential hybrid GA, a coarse-grain GA and a fine-grain GA. The last two are based on models of natural evolution ...
  • Allocating data to multicomputer nodes by physical optimization algorithms for loosely synchronous computations 
    Mansour, Nashat; Fox, Geoffrey C. (2016-01-25)
    Three optimization methods derived from natural sciences are considered for allocating data to multicomputer nodes. These are simulated annealing, genetic algorithms and neural networks. A number of design choices and the ...
  • An Arabic Auto-indexing System for Information Retrieval 
    Haraty, Ramzi A.; Mansour, Nashat; Daher, Walid (ACTA Press, 2018-02-19)
  • An auto-indexing method for Arabic text 
    Mansour, Nashat; Haraty, Ramzi A.; Daher, Walid; Houri, Manal (2016-05-09)
    This work addresses the information retrieval problem of auto-indexing Arabic documents. Auto-indexing a text document refers to automatically extracting words that are suitable for building an index for the document. In ...
  • Bee Colony Algorithm for Proctors Assignment. 
    Mansour, Nashat; Taha, Mohamad Kassem (2018-05-16)
    Proctor assignment refers to assigning proctors to examinations with the objective of having the appropriate number of proctors assigned to examinations, subject to conditions such as minimizing the load of proctoring and ...
  • A comparison of data mapping algorithms for parallel iterative PDE solvers 
    Mansour, Nashat; Fox, Geoffrey; Chrisochoides, Nikos (2018-05-16)
    We review and evaluate the performances of six data mapping algorithms used for parallel single-phase iterative PDE solvers with irregular 2-dimensional meshes on multicomputers. We provide a table that compares the six ...
  • A comparison of optimization heuristics for the data mapping problem 
    Mansour, Nashat (2018-05-16)
    In this paper we compare the performance of six heuristics with suboptimal solutions for the data mapping problem of two dimensional meshes that are used for the numerical solution of Partial Differential Equations(PDEs) ...
  • Computational evluation of protein energy functions 
    Mansour, Nashat; Mohsen, Hussein (Springer, 2018-05-17)
    Proteins are organic compounds made up of chains of amino acids that fold into complex 3-dimensional structures based on their chemical and physical properties. A protein is characterized by its 3D structure, which defines ...
  • CorporateMeasures 
    Mansour, Nashat; Danas, Konstantinos; Nammour, Fadi (IEEE, 2018-05-17)
    Patient information in healthcare organizations is distributed across several systems and data silos. Clinicians make decisions based on data in patient health records. Improving the efficiency of decision-support requires ...
  • Curriculum based course timetabling 
    Mansour, Nashat; El-Jazzar, Hanaa (2018-05-17)
    Scheduling courses into predefined periods and rooms over a week with a given set of constraints is an NP-complete problem. This work considers proposing three-phase heuristic algorithms that fulfils the requirements of ...
  • Data Generation for Path Testing 
    Mansour, Nashat; Salame, Miran (2016-01-27)
    We present two stochastic search algorithms for generating test cases that execute specified paths in a program. The two algorithms are: a simulated annealing algorithm (SA), and a genetic algorithm (GA). These algorithms ...
  • A distributed genetic algorithm for deterministic and stochastic labor scheduling problems 
    Mansour, Nashat; Easton, Fred F. (2016-12-06)
    A recurring operational decision in many service organizations is determining the number of employees, and their work schedules, that minimize labor expenses and expected opportunity costs. These decisions have been modeled ...
  • Empirical comparison of regression test selection algorithms 
    Mansour, Nashat; Bahsoon, Rami; Baradhi, Ghinwa (2016-01-27)
    In the maintenance phase, the regression test selection problem refers to selecting test cases from the initial suite of test cases used in the development phase. In this paper, we empirically compare five representative ...
  • Evolutionary algorithm for predicting all-atom protein structure 
    Mansour, Nashat; Ghalayini, Iman; Rizk, Sandra; El-Sibai, Mirvat (2018-05-11)
    We present an improved version of a scatter search (SS) algorithm for predicting all-atoms protein structures using a recent energy model. This algorithm produces a 3D structure of the whole protein, including back-bone ...
  • Evolutionary algorithm for protein structure prediction 
    Mansour, Nashat; Kanj, Fatima; Khachfe, Hassan (IEEE Xplore, 2018-05-17)
    A protein is characterized by its 3D structure, which defines its biological function. The protein structure prediction problem has real-world significance where several diseases are associated with the wrong folding of ...
  • An evolutionary approach to load balancing parallel computations 
    Mansour, Nashat; Fox, Geoffrey C. (2018-05-29)
    We present a new approach to balancing the workload in a multicomputer. It is based on a genetic algorithm that combines a number of design choices in order to ameliorate the problem of premature convergence. The genetic ...
  • Filtering intrusion detection alarms 
    Mansour, Nashat; Chehab, Maya I.; Faour, Ahmad (2016-01-25)
    A Network Intrusion Detection System (NIDS) is an alarm system for networks. NIDS monitors all network actions and generates alarms when it detects suspicious or malicious attempts. A false positive alarm is generated when ...
  • Fragment-based computational protein structure prediction 
    Mansour, Nashat; Terzian, Meghrig (2018-05-29)
    Proteins consist of sequences of amino acids that fold into 3-dimensional structures. The 3-dimensional configuration determines a protein’s function. Hence, it is very important to determine the correct structure in order ...
  • General applicability of genetic and simulated annealing algorithms for data mapping 
    Mansour, Nashat; Kawash, Jalal; Diab, Hassan (2018-06-04)
    We experimentally analyze the general applicability of genetic algorithms (GA) and simulated annealing algorithms (SA) for mapping data to multicomputers. The results show that the GA and SA are insensitive to user parameters ...
  • A genetic algorithm approach for regrouping service sites 
    Mansour, Nashat; Dana, Tarek; Tabbara, Hiba (2016-01-26)
    We address the problem of regrouping service sites into a smaller number of service centers, where each center serves a region. We propose a two-phase method, based on a weighted-graph problem formulation, for providing ...

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