To solve these problems, this paper proposes an modified crayfish optimization algorithm (MCOA). Based on the survival habits of crayfish, MCOA proposes an environmental renewal mechanism that uses water quality
Additionally, a modified version of the crayfish optimization algorithm (COA) is introduced, tailored specifically for the study's requirements. The evaluation of the proposed approach on real-world data consistently reveals that models configured by the introduced classifier surpass an accuracy of 87.98...
A modified version of the Chaotic Quasi-Opposition Crayfish Optimisation algorithm (CQOCOA) has been offered as a novel optimization approach for optimal parameters of the proposed controller. ITSE has been taken as objective function for optimization purpose. Moreover, a comprehensive detailed ...
Given that the performance of networks is significantly inductance by architecture and training parameter choices, a modified version of the recently introduced crayfish optimization algorithm (COA) is proposed, specifically tailored to the requirements of this investigation. The proposed optimizer is ...
Addressing the critical needfor effective aritifical intelligence (AI)-driven cybersecurity solutions, this research combines BERT's NLP capabilities witha modified crayfish optimization algorithm (COA) to fine-tunethe hyperparameters of deep neural network models, enhancing classification accuracy. ...
To evaluate the convergence accuracy, speed, and robustness of the modified crayfish optimization algorithm (MCOA), some simulation comparison experiments of 10 algorithms are conducted. Experimental results show that the MCOA achieved the minor Friedman test value in 23 test functions,...