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Research Paper | Computer Science & Engineering | India | Volume 3 Issue 7, July 2014 | Rating: 6.4 / 10
Search Optimization using Multiobjective Particle Swarm Optimization
Charu Chhabra, Dr. K. K. Paliwal
Abstract: The reusability provides many benefits such as increasing productivity, Reliability & Quality along with reducing the cost & development time and if the number of components developed is not according to the requirement then the technique of reusability is of great help. The main problem faced by the CBSE in reusability is to select the component for reuse as before reusing there is need to retrieve it from repository & before retrieving; searching of relevant component from repository needs to be performed. The proposed technique is a hybridization of Multiobjective Particle Swarm Optimization and Pareto Dominance Principle.
Keywords: Component Based Software Engineering CBSE, Reusability, Multiobjective Particle Swarm Optimization, Pareto Dominance Principle, Optimal Solution
Edition: Volume 3 Issue 7, July 2014,
Pages: 1345 - 1351