.

Recently added

LAUR Repository

SoAS - Scholarly Publications: Recent submissions

  • A Parallel Genetic Algorithm for the Geometrically Constrained Site Layout Problem with Unequal-Size Facilities 
    Zouein, Pierrette P.; Harmanani, Haidar M.; Hajar, Aouni M.; SOE; SAS; 199690230; 199490170; Industrial Engineering; pzouein@lau.edu.lb; haidar.harmanani@lau.edu.lb (2016-02-18)
    Parallel genetic algorithms techniques have been used in a variety of computer engineering and science areas. This paper presents a parallel genetic algorithm to solve the site layout problem with unequal-size and constrained ...
  • Evaluation of Commercial Wood‐Cement Composites for Sandwich‐Panel Facing 
    Karam, Gebran N.; Gibson, Lorna J.; SOE; 199590200; Civil Engineering; gkaram@lau.edu.lb (2016-02-11)
    Within the general framework of developing a cement‐based sandwich panel for housing construction, wood‐cement composites were identified as a promising facing material. Five commercially available wood‐cement and ...
  • French cultural imperialism and the aesthetics of extinction 
    Dallal, Jenine Abboushi; SAS; 201001985; English; jenine.abboushi@lau.edu.lb (2016-01-29)
  • Simulated Annealing and Genetic Algorithms for Optimal Regression Testing 
    Mansour, Nashat; El-Fakih, Khaled; SAS; 198629170; Computer Science and Mathematics; nmansour@lau.edu.lb (2016-01-27)
    The optimal regression testing problem is one of determining the minimum number of test cases needed for revalidating modified software in the maintenance phase. We present two natural optimization algorithms, namely, a ...
  • Data Generation for Path Testing 
    Mansour, Nashat; Salame, Miran; SAS; 198629170; Computer Science and Mathematics; nmansour@lau.edu.lb (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 ...
  • Scatter Search algorithm for Protein Structure Prediction 
    Mansour, Nashat; Kehyayan, Christine; Khachfe, Hassan; SAS; 198629170; Computer Science and Mathematics; nmansour@lau.edu.lb (2016-01-27)
    In this paper, we present a Scatter Search (SS) algorithm for predicting 3D structures of proteins based on torsion angles representation. Given the protein's sequence of Amino Acids (AAs), our algorithm produces a 3D ...
  • UML-based regression testing for OO software 
    Mansour, Nashat; Takkoush, Husam; Nehme, Ali; SAS; 198629170; Computer Science and Mathematics; nmansour@lau.edu.lb (2016-01-27)
    In software maintenance, a system has to be regression tested after modifying it. The goal of regression testing is to ensure that modifications have not adversely affected the system. Regression test selection determines ...
  • Empirical comparison of regression test selection algorithms 
    Mansour, Nashat; Bahsoon, Rami; Baradhi, Ghinwa; SAS; 198629170; Computer Science and Mathematics; mansour@lau.edu.lb (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 ...
  • Improving the Accuracy of English-Arabic Statistical Sentence Alignment 
    Mansour, Nashat; Salameh, Mohammad; Zantout, Rached; SAS; 198629170; Computer Science and Mathematics; nmansour@lau.edu.lb (2016-01-26)
    Multilingual natural language processing systems are increasingly relying on parallel corpus to ameliorate their output. Parallel corpora constitute the basic block for training a statistical natural language processing ...
  • Properties of simulated annealing and genetic algorithms for mapping data to multicomputers 
    Mansour, Nashat; Kawash, Jalal; Diab, Hassan; SAS; 198629170; Computer Science and Mathematics; nmansour@lau.edu.lb (2016-01-26)
    We experimentally analyze some properties of simulated annealing algorithms (SA) and genetic algorithms (GA) for mapping data to multicomputers. These properties include sensitiviiy to user parameters, fault tolerance ...
  • Stochastic Search Algorithms for Exam Scheduling 
    Mansour, Nashat; Timany, Mazen; SAS; 198629170; Computer Science and Mathematics (2016-01-26)
    Scheduling final exams for large numbers of courses and students in universities is an intractable problem. Where scheduling is done manually, conflicts and unfairness are inevitable. Conflicts occur when simultaneous ...
  • Incremental Genetic Algorithm 
    Mansour, Nashat; Awad, Mohamad; El-Fakih, Khaled; SAS; 198629170; Computer Science and Mathematics; nmansour@lau.edu.lb (2016-01-26)
    Classical Genetic Algorithms (CGA) are known to find good sub-optimal solutions for complex and intractable optimization problems. In many cases, problems undergo frequent minor modifications, each producing a new problem ...
  • Regression test selection for c# programs 
    Mansour, Nashat; Statieh, Wael; SAS; 198626170; Computer Science and Mathematics; mansour@lau.edu.lb (2016-01-26)
    We present a regression test selection technique for C# programs. C# is fairly new and is often used within the Microsoft .Net framework to give programmers a solid base to develop a variety of applications. Regression ...
  • Ripple effect in object oriented programs 
    Mansour, Nashat; Salem, Hani; SAS; 198629170; Computer Science and Mathematics; nmansour@lau.edu.lb (2016-01-26)
    Upon introducing a local change in a method or a class in an object oriented program, the ripple effect gives a measure of the amount by which this change may affect other methods/classes. That is, the ripple effect shows ...
  • Particle swarm optimization approach for protein structure prediction in the 3D HP model 
    Mansour, Nashat; Kanj, Fatima; Khachfe, Hassan; SAS; 198629170; Computer Science and Mathematics; nmansour@lau.edu.lb (2016-01-26)
    The primary structure of proteins consists of a linear chain of amino acids that can vary in length. Proteins fold, under the influence of several chemical and physical factors, into their 3D structures, which determine ...
  • Metaheuristic Optimization Algorithms for Training Artificial Neural Networks 
    Mansour, Nashat; Al Kawam, Ahmad; SAS; 198629170; Computer Science and Mathematics; nmansour@lau.edu.lb (2016-01-26)
    Training neural networks is a complex task that is important for supervised learning. A few metaheuristic optimization techniques have been applied to increase the effectiveness of the training process. The Cuckoo ...
  • A genetic algorithm approach for regrouping service sites 
    Mansour, Nashat; Dana, Tarek; Tabbara, Hiba; SAS; 198629170; 198701700; Computer Science and Mathematics; nmansour@lau.edu.lb; tdana@lau.edu.lb (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 ...
  • Weblins 
    Mansour, Nashat; Faour, Ahmad; SAS; 198629170; Computer Science and Mathematics; nmansour@lau.edu.lb (2016-01-26)
    With the ever-growing web traffic, cluster-based web servers have become very important to the Internet infrastructure. Thus, making the best use of all available resources in the cluster to achieve high performance is a ...
  • Reduction-based methods and metrics for selective regression testing 
    Mansour, Nashat; Bahsoon, Rami; SAS; 198629170; Computer Science and Mathematics; mansour@lau.edu.lb (2016-01-26)
    In corrective maintenance, modified software is regression tested using selected test cases in order to ensure that the modifications have not caused adverse effects. This activity of selective regression testing involves ...
  • Scatter search technique for exam timetabling 
    Mansour, Nashat; Isahakian, Vatche; Ghalayini, Iman; SAS; 198629170; Computer Science and Mathematics; nmansour@lau.edu.lb (2016-01-26)
    At universities where students enjoy flexibility in selecting courses, the Registrar’s office aims to generate an appropriate exam timetable for numerous courses and large number of students. An appropriate, real-world ...

Search LAUR


Advanced Search

Browse

My Account