Objective-based survival individual enhancement in the chimp optimization algorithm for the profit prediction using financial accounting information system

Objective-based survival individual enhancement in the chimp optimization algorithm for the profit prediction using financial accounting information system

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This paper develops an innovative Objective-based Survival Individual Enhancement approach for the Chimp Optimization Algorithm (OSIE-CHOA) designed to enhance financial accounting profit Ship Model Kit prediction using information systems.The OSIE-CHOA focuses on improving the search process by simultaneously elevating the fitness of under-performing individuals within a population and strengthening the diversity among the top-performing ones.Within the OSIE-CHOA, we identify the four most promising chimps during each iteration.Subsequently, half of the highest-performing chimps are selected for elimination and repositioning around these fortunate individuals, with an equal probability assigned to each chimp.According to the experimental findings, it is clearly seen that OSIE-CHOA considerably enhances prediction accuracy, allowing a decrease in the root mean square error (RMSE) by 15% and the mean absolute error (MAE) by 18% compared to the traditional CHOA.

Moreover, OSIE-CHOA shows a convergence rate that is Miniatures Kit 20% higher, which makes it a good and efficient tool for financial analysts who require accurate and reliable profit forecasting.By facilitating the optimization of profit prediction models, OSIE-CHOA leads to the improvement of decision-making within the context of financial accounting information systems.