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Efficient MOWO for Multi-Objective Optimization by bahaahelmyfcai is a document available to read on EtoBox.
What is Efficient MOWO for Multi-Objective Optimization about?
This paper introduces a novel multi-objective Warlus optimizer (MOWO) designed to solve multi-objective optimization problems, particularly in engineering and action recognition. The MOWO employs a unique update process, an archive matrix for optimal solutions, and a mutate-leaders strategy to enhance solution diversity and avoid local minima. Experimental results demonstrate that MOWO outperforms several established multi-objective methods, achieving high accuracy in human activity recognition tasks.
- Author
- bahaahelmyfcai
- Language
- EN