Evolutionary computation plus dynamic programming for the Bi-objective travelling thief problem

التفاصيل البيبلوغرافية
العنوان: Evolutionary computation plus dynamic programming for the Bi-objective travelling thief problem
المؤلفون: J Wu, M Wagner, Sergey Polyakovskiy, F Neumann
سنة النشر: 2018
مصطلحات موضوعية: Operations research, Bi-objective optimisation, Genetic algorithms, Dynamic programming, Travelling thief problem, Multi-component problem, Hybrid approach, 4901 Applied mathematics, 4602 Artificial intelligence
الوصف: This research proposes a novel indicator-based hybrid evolutionary approach that combines approximate and exact algorithms. We apply it to a new bi-criteria formulation of the travelling thief problem, which is known to the Evolutionary Computation community as a benchmark multi-component optimisation problem that interconnects two classical NP-hard problems: the travelling salesman problem and the 0-1 knapsack problem. Our approach employs the exact dynamic programming algorithm for the underlying packing while travelling problem as a subroutine within a bi-objective evolutionary algorithm. This design takes advantage of the data extracted from Pareto fronts generated by the dynamic program to achieve better solutions. Furthermore, we develop a number of novel indicators and selection mechanisms to strengthen synergy of the two algorithmic components of our approach. The results of computational experiments show that the approach is capable to outperform the state-of-the-art results for the single-objective case of the problem.
نوع الوثيقة: conference object
اللغة: unknown
Relation: http://hdl.handle.net/10536/DRO/DU:30112243
الاتاحة: http://hdl.handle.net/10536/DRO/DU:30112243
https://figshare.com/articles/conference_contribution/Evolutionary_computation_plus_dynamic_programming_for_the_Bi-objective_travelling_thief_problem/20797057
Rights: All Rights Reserved
رقم الانضمام: edsbas.E1233FE7
قاعدة البيانات: BASE