This paper proposes an algorithm based on deep reinforcement learning and Sequential Least Squares Programming (SLSQP), which decouples and solves the problem. Experiments show that the algorithm works well and
Nuclear mass is an important property in both nuclear and astrophysics. In this study, we explore an improved mass model that incorporates a higher-order term of symmetry energy using algorithms. The sequential least squares programming (SLSQP) algorithm augments the precision of this multinomial ...
Cross-sectional layoutSLSQP algorithmOptimization designA new quantitative index is proposed to analyze the cross-sectional layout of the umbilical.Sequential least squares quadratic programming (SLSQP) algorithm is used for optimization.The proposed optimization design algorithm can improve the design ...
To achieve such goal two open-source codes, SU2 and Calculix, are employed for ASO and TO, respectively, using the Sequential Least SQuares Programming (SLSQP) and the Bi-directional Evolutionary Structural Optimization (BESO) algorithms; the latter is well-known for allowing the addition of ...