Erdoğdu, K. Comparing ALNS and NSGA-II on Bi-Objective Travelling Thief Problem, Proceedings of the 12th Annual International Conference on Industrial Engineering and Operations Management, Istanbul, Turkey, March 7, 2022, https://doi.org/10.46254/AN12.20220269
Comparing ALNS and NSGA-II on Bi-Objective Travelling Thief Problem
Abstract
Real-life optimization problems consist of various conflicting optimization problems. Due to the interdependency of these sub-optimization problems, their solution is more difficult than single optimization problems. For this reason, most of the real-life optimization problems are considered multi-objective optimization problems by nature, and different methods and approaches are applied. In this paper, a recent multi-objective optimization problem, the bi-objective traveling thief problem (BiTTP) was studied. Two state-of-the-art algorithms, ALNS and NSGA-II, were hybridized with certain local search methods and applied on six problem instances of Polyakovskiy’s problem benchmark set. As a result, the performances of these two algorithms were evaluated and new set of Pareto front sets were generated for the related benchmark instances.
Keywords: Travelling Thief Problem, Multi-objective Optimization Problem, Adaptive Large Neighborhood Search, NSGA-II, Evolutionary Algorithms
You can download the Supplementary Materials (SM) here: BiTTP-SM-IEOM-22.zip