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AI-driven optimization of the Particle Swamp reduces the mortality of Prawns

. Adnan Alam Khan , Syed Asif Ali , Dr.Sadiq Ali Khan and Muhammad Zakir Shaikh


Even though the Prawn, Shrimp, and Lobster (PSL) fertility rate is rather high, but their birth and death rates is imbalanced. Most of the PSL died after hatching but the reason is unknown. PSL convert into Nauplius after hatching. Nauplius birth and death rate is relatively poor, and the reason is an enigma.  This is why the indemnification redemption process calls for well-considered pertinent substantiated research. PSL lays 300,000 to 500,000 eggs on the ocean floor, but their survival rate is under 50%. This study uses the artificial intelligence algorithms Particle Swamp Optimization (PSO) and Fuzzy Analytical Hierarchical Process (FAHP) to address the early stage of PSL migration from egg hatching to Nauplius. The migration of (PSL) Nauplius from the seabed to the optimum feed, best position, and ideal velocity is the first stage of this investigation. Best feed and related (PSL) growth is the focus of the second phase of this study. To attain better outcomes in terms of PSL weight, four different diets, chemicals, and temperatures were fed in four distinct ponds. Particle (PSL) movement toward the objective or search space—in this case, a sea, river, or control-conditioned pond—is closely related to particle swamp optimization, which was applied in this study. These PSLs travel from their starting position to the ideal position for a higher quality of life at a predetermined speed. PSL movement decisions are influenced by cost, population, learning coefficients, and particle global, among other interrelated factors. The related factors that affect PSL movement choices are cost, population, learning coefficients, particle global position, particle current location, updated PSL location, and particle velocity. The particles learn the path, timing, and velocity once they have communicated and moved to their optimum location. Salinity, dissolved oxygen, nutritional food, and other factors come into play once the PSLs have reached their appropriate site. These two algorithms will display the birth and mortality rates in the PSL. They will cooperate in order to restore PSL growth.

Index Terms- Artificial Intelligence, Particle swamp optimization, Fuzzy Analytical Hierarchical Process.

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