An Evolutionary Framework for Different Variants of the Fair Layout Optimization Problem
摘要
The fair layout problem is a combinatorial optimization problem inspired by a concrete real-world stand alignment situation. The main goal of the paper is to study this problem by introducing new features: (1) a 90-degree rotation of the stands, and (2) two variants of the arrangement: a layout where stands can be arranged in multiple rows, and a second version requiring the stand to have two free sides. As a solution, we propose a simple genetic algorithm with two variations: in the first variant, random initialization is used, and in the second variant, a greedy initialization strategy is used. Numerical experiments on different maps show the effectiveness of the proposed approach.