Crow Search Algorithm (CSA)
Suvarna Shirke1, R. Udaya Kumar2

1Suvarna Shirke, Research Scholar, Assistant Professor, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
2Dr. R. Udaya Kumar, Professor and Supervisor, Department of Information Technology, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
Manuscript received on 20 November 2019 | Revised Manuscript received on 04 December 2019 | Manuscript Published on 10 December 2019 | PP: 371-375 | Volume-8 Issue-3S2 October 2019 | Retrieval Number: C10711083S219/2019©BEIESP | DOI: 10.35940/ijrte.C1071.1083S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: Researchers’ are taking keen interest in Optimization algorithms due to their heuristic and meta-heuristic nature. Heuristic algorithms find the arrangement by utilizing the experimentation strategy. Then again, meta-heuristic algorithms discover the response at a more elevated tier. Several nature-based metaheuristic algorithms are easily accessible. Askarzadeh has introduced the Crow search algorithm and stated that it is meta-heuristic optimization algorithm. The astute conduct of the crow moves CSA. Crows are keen on putting away the abundance nourishment at concealing spots and recuperating it at whatever point it is needed. CSA’s previous outcomes show that it can unravel different complex building related optimization issues. There are six compelled building plan issues, and CSA is utilized to upgrade these issues. This paper focuses on a far-reaching investigation of CSA in the diverse application is given with the examination just as the exhibitions of the CSA in the different structure is talked about.
Keywords: Metaheuristic Algorithms, Crow Search Algorithm, Earthworm Algorithm.
Scope of the Article: Algorithm Engineering