The stabilized version of the sequential quadratic programming algorithm (sSQP) had been developed in order to achieve superlinear convergence in situations when the Lagrange multipliers associated to a solution are not unique. Within the framework of Fischer (Math Program 94:91–124, 2002), the key to local superlinear convergence of sSQP are the following two properties: upper Lipschitzian beh...

In this paper, by combining the splitting method of augmented Lagrange function (ALF) with sequential quadratic programming (SQP) approximation, a novel ALF-based algorithm SQP structure is proposed for multi-block linear constrained nonconvex separable optimization. The new uses idea to decompose original problem into several small-scale subproblems. Meanwhile, approximation and Armijo-type li...

the control of fluidized-bed operations processes is still one of the major areas of research due to the complexity of the process and the inherent nonlinearity and varying dynamics involved in its operation. there are varieties of problems in chemical engineering that can be formulated as nonlinear programming (nlps). the quality of the developed solution significantly affects the performance ...

Abstract In this paper, the mathematical models for flow and heat-transfer analysis of a non-Newtonian fluid with axisymmetric channels porous walls are analyzed. The governing equations problem derived by using basic concepts continuity momentum equations. Furthermore, artificial intelligence-based feedforward neural networks (ANNs) utilized hybridization generalized normal-distribution optimi...

The COVID-19 pandemic is the defying crisis of our time. Since mass vaccination has not yet been established, countries still have facing many issues due to viral spread. Even in cities with high seroprevalence, intense resurgent waves registered, possibly variants greater transmission rates. Accordingly, we develop a new Model Predictive Control (MPC) framework that able determine social dista...

Aiming at the problem that modeling and solving method of combined heat power (CHP) unit variable load control process is challenging to meet demand for efficient analysis complex systems, this paper proposes a based on sequential quadratic programming interior point (SQP-IPM) alternating solution dynamic optimization CHP process. Firstly, by constructing mechanism model, multi-variable coordin...

in this paper, an integration of improve particle swarm optimization (ipso) incombination with successive quadratic programming (sqp) so called ipso-sqpalgorithm is proposed to solve time optimal bang-bang control problems. theprocedure is found not sensitive to the initial guess of the solution. due to randomselection in the first stage of the search process, the chance of converging to theglo...

Hybrid optimization algorithms have gained popularity as it has become apparent there cannot be a universal optimization strategy which is globally more beneficial than any other. Despite their popularity, hybridization frameworks require more detailed categorization regarding: the nature of the problem domain, the constituent algorithms, the coupling schema and the intended area of application...