Proposed topology of Cognitive Elephant Herding Optimization Technique

Authors

  • Javeria Barkat Iqra University image/svg+xml
  • Muhammad Rizwan Tanweer Department of Decision Sciences, Karachi School of Business and Leadership
  • Shumail Zehra Department of Computer Science, Iqra University, Karachi, Pakistan
  • Muhammad Zamin Ali Khan Department of Computer Science, Iqra University, Karachi, Pakistan

DOI:

https://doi.org/10.22555/pjets.v12i1.1079

Keywords:

Elephant Herding Optimization, Cognitive based, Self and Social Learning, Learning methodology

Abstract

The Cognitive Elephant Herding Optimization (CEHO) technique, a new variation of Elephant Herding Optimization (EHO) that incorporates human learning principles-based techniques, has been proposed in this study. Two novel strategies—Socially Interactive Guidance (SIG) and Self-Adaptive Parameterized Perception (SAPP)—have been developed as a result of incorporating these concepts into EHO. The SIG approach incorporates guidance-based learning as its inspiration for exploration phase.  Similar to this, SAPP techniques are devoted to the exploitation phase that incorporates Self-Regulating Perception (SRP) and Generation Gap (GG) cognitive skills from people into the technique. On the CEC 2013 benchmark suits, a significant number of experimental assessments have been carried out.

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Published

2024-07-10

How to Cite

Proposed topology of Cognitive Elephant Herding Optimization Technique. (2024). Pakistan Journal of Engineering, Technology and Science, 12(1), 64-77. https://doi.org/10.22555/pjets.v12i1.1079

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