A comparative study of evolutionary approaches to the bi-objective dynamic Travelling Thief Problem-Reference-Cited by-同舟云学术

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A comparative study of evolutionary approaches to the bi-objective dynamic Travelling Thief Problem

Published:2024-02 Issue: Volume:84 Page:101433
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Herring Daniel^ORCID,Kirley Michael^ORCID,Yao Xin^ORCID

Funder

Australian Government

Australian Research Council

University of Melbourne

Publisher

Elsevier BV

Subject

General Mathematics,General Computer Science

Reference67 articles.

1. Evolutionary optimization in dynamic environments;Branke,2002

2. Evolutionary Computation for Dynamic Optimization Problems, Vol. 490;Yang,2013

3. Analysis of fitness landscape modifications in evolutionary dynamic optimization;Tinós;Inform. Sci.,2014

4. Evolutionary dynamic optimization: Challenges and perspectives;Rohlfshagen,2013

5. Dynamic multi-objective optimization using evolutionary algorithms: A survey;Azzouz,2017

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Solving biobjective traveling thief problems with multiobjective reinforcement learning;Applied Soft Computing;2024-08

2. An Adaptive Interactive Routing-Packing Strategy for Split Delivery Vehicle Routing Problem with 3D Loading Constraints;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

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