Scatter search with path relinking for linear bilevel problems
针对线性双层优化问题，开发了一种带路径重连的分散搜索算法，通过生成边界可行极点解来连接不可行与可行解，实验确定了最佳配置并与现有方法对比。
The literature includes very few instances of scatter search applications to bilevel optimization. These implementations have been proposed for problems in the field of logistics involving integer variables and are based on a structure where scatter search sets the values of the decisions at the upper level followed by the solution of the lower level problem. In this work, we develop a scatter search for solving linear bilevel problems. Our proposal employs a tailored path relinking procedure that generates solutions that are boundary feasible extreme points located in the trajectory between infeasible and feasible bilevel solutions. We perform scientific experimentation to determine the most effective configuration of our scatter search with path relinking. We also perform competitive experiments to determine where the proposed solution method stands when compared to the state of the art for tackling linear bilevel problems.