Thursday, May 16, 2019

A Framework Model for an Online Examination Timetable using Constraint Dissertation

A textile Model for an Online Examination Timetable using Constraint Programming, PHP and MySQL - Dissertation ExampleThe ch tout ensembleenge and complexity of the chore lies in the fact that institutions may need to satisfy a set of constraints that might be too diverse or even contradictory. There are a few constraints that cannot be violated at all (hard constraints), few constraints are non ordinary (soft constraints) and may or may not be followed by an base and lastly, there may be constraints unique to a specific institute (Burke et al. 1995). Problem Statement pedantic institutions all over the world are required to go through the tedious and time consuming task of producing query timetables periodically. Therefore, a universal solution for the examination timetabling problem would stick a meaning(a) impact factor. Owing to the fact that different institutes require a solution satisfying different constraints, the problem of finding a generalized solution that cate rs all these differences could be rather challenging. Devising a universal moulding for examination timetable problem would require flexibility in terms of the specified constraints and commercial software system cannot provide that. Aims and Objectives The aim of this project would be to suggest a universal framework model for the examination timetabling problem. A solution that ensures provision of flexibility in terms of constraint specifications shall be proposed. ... Literature includes timetabling systems presented by Hansen and Vidal (1995), Colijn and Layfield (1995), Lim et al (2000) and Dimopoulou and Miliotis (2001). Various approaches founder been suggested by researchers and universities to solve the examination timetabling problem. Some come papers have been published over time listing the techniques that have been utilized in addressing the exam timetabling problems. These include the survey by Carter and Laporte (1996), Burke and Petrovic (2002), Schaerf (1999), Petrovic and Burke (2004) and Burke et al. (1997). Amongst the approaches include methods ground on evolutionary algorithms (Cote 2005), clustering, graph based sequential methods, case based reasoning (Gaspero & Schaerf 2001), hyper heuristics (Burke et al. 2007), harmony search algorithms (Burke et. al 2004), tabu search (Gendreau & Potvin 2005), blood cell swarm algorithms (Gaspero & Shuref 2001), and simulated annealing (Chiarandini 2006) have been proposed for the examination timetabling problem. It has been observed that hybrid methods in general give back better solutions that pure algorithms. However, efficient integration is required rather than sequentially integrating the different approaches (Que et al. 2006). For expression timetabling systems, researchers have used some general constraint programming packages e.g. ECLiPse (Ajili & Wallace 2003). A few efforts have been seen in literature for standardizing the modelling language and data format (Kingston 2001 Ozcan 2003 Reis & Oliveira 2001) once the need for it was recognized (Burke et al. 1998). methodological analysis The project has both research and development phases, so time shall be divided accordingly. The framework model would have the server-client architecture and would comprise of

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