Proposal Essay Example | Topics and Well Written Essays - 1000 words - 5

Proposal - Essay ExampleIn order to derive a genetic algorithm, potential drop solutions to a problem need to be developed by encoding for instance by use binary bit strings. Another method used is the estimation of distribution algorithms for software optimisation, whereby a probability model is maintained for distributively generation of a problem situation. While there are studies applying each of these software optimization methods separately, the number of studies where both methods are compared in the same assessment are not as plentiful.This tuition seeks to carry out a comparison of both these software optimization methods in one particular study. Both these methods will be compared and an estimation of the efficacy of each method in terms of software optimization capacity will be made on the basis of the comparison. This study will rely primarily on two major research studies which are detailed below, which give a close parallel to the subject of this research study.Th e most relevant studies that would apply in the background of this research proposal are those showing different methods of software optimization. Through the use of parallel and distributing processing, multi meander techniques have been shown to provide better solutions than sequential options (Cruz and Pelta, 2009). Under the multi thread option, each solver thread represents a particular optimization algorithm and a coordinator collects performance information on the solvers and then sends them instructions on how behaviour is to be altered. On the algorithmic approach, metaheuristics can be successfully applied to complex and severe combinations of optimization programs. In the study carried out by Cruz and Pelta (2009), the most basic ingredients of soft computing were used, i.e, finished fuzzy sets and fuzzy rules, depending upon the location, i.e, by focusing upon the p-median, where the combinatorial optimization problem occurred.The