A Modified Grey Wolf Optimizer by Individual Best Memory and Penalty Factor for Sonar and Radar Dataset Classification

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TAGHAVI MOHAMMAD; KHISHE MOHAMMAD

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Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF MARINE TECHNOLOGY Year:2019 | Volume:6 | Issue:1 (15) Page(s): 122-132

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Title

A Modified Grey Wolf Optimizer by Individual Best Memory and Penalty Factor for Sonar and Radar Dataset Classification

Author(s)

TAGHAVI MOHAMMAD | KHISHE MOHAMMAD | Issue Writer Certificate

Keywords

Classification

Feature Selection

Grey Wolf Optimization

Meta-heuristic Algorithms

Radar

Sonar

Abstract

Meta-heuristic Algorithms (MA) are widely accepted as excellent ways to solve a variety of optimization problems in recent decades. Grey Wolf Optimization (GWO) is a novel MA that has been generated a great deal of research interest due to its advantages such as simple implementation and powerful exploitation. This study proposes a novel GWO-based MA and two extra features called Individual Best Memory (IBM) and Penalty Factor (PF) to train Feed-forward Neural Network (FNN) for the Classification of Sonar and Radar datasets. Besides, FNN is accompanied by Feature Selection (FS) using GWO. Experiments were done on Sonar and Radar datasets obtained from the University of California, Irvin (UCI) to evaluate the performance of the proposed MA; the results demonstrated the proposed MA is markedly better than GWO in terms of Classification accuracy, avoiding local optima stagnation, and convergence speed without higher computational complexity. This framework can be applied to naval navigation systems or atmospheric research.

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APA: Copy

TAGHAVI, MOHAMMAD, & KHISHE, MOHAMMAD. (2019). A Modified Grey Wolf Optimizer by Individual Best Memory and Penalty Factor for Sonar and Radar Dataset Classification. IRANIAN JOURNAL OF MARINE TECHNOLOGY, 6(1 (15) ), 122-132. SID. https://sid.ir/paper/747128/en

Vancouver: Copy

TAGHAVI MOHAMMAD, KHISHE MOHAMMAD. A Modified Grey Wolf Optimizer by Individual Best Memory and Penalty Factor for Sonar and Radar Dataset Classification. IRANIAN JOURNAL OF MARINE TECHNOLOGY[Internet]. 2019;6(1 (15) ):122-132. Available from: https://sid.ir/paper/747128/en

IEEE: Copy

MOHAMMAD TAGHAVI, and MOHAMMAD KHISHE, “A Modified Grey Wolf Optimizer by Individual Best Memory and Penalty Factor for Sonar and Radar Dataset Classification,” IRANIAN JOURNAL OF MARINE TECHNOLOGY, vol. 6, no. 1 (15) , pp. 122–132, 2019, [Online]. Available: https://sid.ir/paper/747128/en

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