Solving Component Identification Problem by using Evolutionary Method
Anil Kumar Pandey1, Tulika Pandey2
1Anil Kumar Pandey, Sam Higginbottom University of Agriculture, Technology and Sciences (SHUATS), Allahabad, India.
2Tulika Pandey, Sam Higginbottom University of Agriculture, Technology and Sciences (SHUATS), Allahabad, India.
Manuscript received on January 24, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 29, 2020. | PP: 3768-3772 | Volume-9 Issue-3, February 2020. | Retrieval Number: C5103029320/2020©BEIESP | DOI: 10.35940/ijeat.C5103.029320
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Today system is day by day increasing and the maintenance of a system is a very difficult task. To explain the component identification problem for architecture which is support to a component based technology. To identify component and optimal , first we describe the Ant clustering approach and then we explain the method how the ABC helps for groups for cluster the Usecase in this paper proposes a .ABC is a population based NP type problem with heuristic that can be used to find approximate solutions to difficult combinatorial optimization problems. This paper presents an effective ABC approach with ant colony in this paper we also find the optimal number of components or clusters. Finally the ABC applies into different exiting system.
Keywords: Modeling, Complexity, Software, UML