Solving the Problem of Pressure Vessel with Constraint Conditions through Marine Predators Algorithm

With the development of artificial intelligence technology, various intelligent algorithms are becoming more and more mature. Swarm intelligent algorithm performs well among many algorithms. Optimization problems have been permeating into all aspects of life, and solving the condition optimization problem with constraints is a very important aspect. This paper adopts the newly proposed Marine Predators Algorithm in recent years. The original algorithm is improved by adding constraints. Optimization of pressure vessel problem using Marine predator optimization algorithm. The four variables of shell thickness, head thickness, inner radius and cylindrical section length are optimized on the premise that the pressure vessel is qualified. The variables are iterated to find the optimal solution. In order to show the excellent performance of the Marine Predators Algorithm, compared with other excellent algorithms, it has excellent performance in both convergence speed and stability.