We used an MIP solver to solve the developed optimization problem and integrated the optimal results to serve as an input for our simulations to evaluate the benefits of surface gateway optimization framework.
In order to optimize the model performance, a recently developed optimization technique based on rate rules (Cai and Pitsch, 2014) is extended in this study.
In recent years, more and more newly developed optimization strategies have been used to determine the optimal level of each experimental parameter.
The reservoir developers and managers have expressed increasing interest in newly developed optimization processes for intelligent well completions.
Particle swarm optimization (PSO) is one of the recently developed optimization algorithm, and it has been used as the global optimizer.
In this article, the newly developed optimization method, so-called the Lion Pride Optimization Algorithm (LPOA), is applied to optimal design of double-layer space barrel vaults.
The feasibility of the developed optimization method is proved through numerical examples.
A genetic algorithm is proposed to solve the newly developed optimization model.
Through software optimization, the total ATS gain of the developed optimization method is 31.91% to 35.49%, without any loss in coding efficiency.
Over the last two decades, the newly developed optimization technique – Particle Swarm Optimization (PSO) has attracted great attention.
