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This chapter presents the formation of Modified Grey Wolf Optimizer (MGWO) by reviewing meta-heuristic algorithms, neural network, ensemble model, and existing model including the strengths and limitations of GWO in the previous chapter. It also explains the variants of GWO. Besides, various parameters of MGWO, exploration and exploitation through MGWO as well we formation of mathematical models of MGWO are demonstrated in this chapter.

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Improving the Exploration and Exploitation of Grey Wolf Optimizer

  • 章节

  • 发表日期：

    2025年

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  • Debashish Das,
  • Ali Safaa Sadiq,
  • Seyedali Mirjalili

摘要

This chapter presents the formation of Modified Grey Wolf Optimizer (MGWO) by reviewing meta-heuristic algorithms, neural network, ensemble model, and existing model including the strengths and limitations of GWO in the previous chapter. It also explains the variants of GWO. Besides, various parameters of MGWO, exploration and exploitation through MGWO as well we formation of mathematical models of MGWO are demonstrated in this chapter.