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A modified niching crow search approach to well placement optimization

Islam, J. and Rahaman, M.S.A. and Vasant, P.M. and Negash, B.M. and Hoqe, A. and Alhitmi, H.K. and Watada, J. (2021) A modified niching crow search approach to well placement optimization. Energies, 14 (4).

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Well placement optimization is considered a non-convex and highly multimodal optimization problem. In this article, a modified crow search algorithm is proposed to tackle the well placement optimization problem. This article proposes modifications based on local search and niching techniques in the crow search algorithm (CSA). At first, the suggested approach is verified by experimenting with the benchmark functions. For test functions, the results of the proposed approach demonstrated a higher convergence rate and a better solution. Again, the performance of the proposed technique is evaluated with well placement optimization problem and compared with particle swarm optimization (PSO), the Gravitational Search Algorithm (GSA), and the Crow search algorithm (CSA). The outcomes of the study revealed that the niching crow search algorithm is the most efficient and effective compared to the other techniques. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Item Type:Article
Impact Factor:cited By 2
Uncontrolled Keywords:Learning algorithms, Benchmark functions; Convergence rates; Gravitational search algorithm (GSA); Multimodal optimization problems; Niching techniques; Search Algorithms; Test functions; Well placement optimization, Particle swarm optimization (PSO)
ID Code:23883
Deposited By: Ms Sharifah Fahimah Saiyed Yeop
Deposited On:19 Aug 2021 13:24
Last Modified:19 Aug 2021 13:24

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