Scientific applications of LKH

N. Absi and C. Archetti and S. Dauzère-Pérès and D. Feillet, and B. Ahrens,
A two-phase iterative heuristic approach for the Production Routing Problem.
Working Papers, University of Brescia, WPDEM 2013/8, 2013.

R. Aciu and H. Ciocarlie,
G-code optimization algorithm and its application on printed circuit board drilling.
9th IEEE International Symposium on Applied Computational Intelligence and
Informatics (SACI), pp. 43-47, 2014.

B. Ahrens,
A tour construction framework for the travelling salesman problem.
Ph.D. thesis, Nova Southeastern University, 2012.

R. K. Ahuja, O. Ergun, J. B. Orlin, and A. P. Punnen,
A survey of very large scale neighborhood search techniques.
Discrete Applied Mathematics 123, pp. 75-102, 2002.

K. Akbudak, E. Kayaaslan, and C. Aykanat,
Hypergraph-Partitioning-Based Models and Methods for Exploiting Cache Locality in
Sparse-Matrix Vector Multiplication
.
Technical Report, BU-CE-1201, Bilkent University, 2012.

F. M. al-Rifaie and M. M. al-Rifaie,
Maximising overlap score in DNA sequence assembly problem by Stochastic
Diffusion Search
.
SAI Inteligent Systems Conference, pp. 301-322, 2015.

K. Alexis, C. Papachristos, and R. Siegwart,
Uniform coverage structural inspection path–planning for micro aerial vehicles.
IEEE International Symposium on Intelligent Control, 2015.

K. Alexis, G. Darivianakis, M. Burri, and Roland Siegwart,
Aerial robotic contact-based inspection: planning and control.
Autonomous Robots, Voume 40, Issue 4, pp. 631-655, 2016.

K. Alexis, C. Papachristos, R. Siegwart, and A. Tzes,
Distributed Infrastructure Inspection Path Planning subject to Time Constraints.
arXiv:1612.08245 [cs.RO], 2016.

K. Alexis,
Aerial Drop of Robots and Sensors for Optimal Area Coverage.
arXiv:1711.10159 [cs.RO], 2017.

Z. A. Allen,
Use of traveling salesman problem solvers in the construction of genetic linkage maps.
M.Sc. thesis, Colorado State University, 2015.

M. Allaoui, B. Ahiod, and M. El Yafrani,
A hybrid crow search algorithm for solving the DNA fragment assembly problem.
Expert Systems with Applications, Volume 102, pp. 44-56, 2018.

R. Almadhoun, T. Taha, L. Seneviratne, J. Dias, and G. Cai,
A survey on inspecting structures using robotic systems.
International Journal of Advanced Robotic Systems, November-Dember 2016.

R. Almadhoun, T. Taha, D. Gan, J. Dias, Y. Zweiri, and L. Seneviratne,
Coverage Path Planning with Adaptive Viewpoint Sampling to Construct 3D
Models of Complex Structures for the Purpose of Inspection
.
International Conference on Intelligent Robots and Systems, 2018.

R. Almadhoun, T. Taha, J. Dias, L. Seneviratne, and Y. Zweiri,
Coverage Path Planning for Complex Structures Inspection Using Unmanned
Aerial Vehicle (UAV).

ICIRA 2019, Lecture Notes in Computer Science, Vol. 11744, pp 243-266, 2019.

B. Alper, N. H. Riche, G. Ramos, and M. Czerwinski,
Design Study of LineSets, a Novel Set Visualization Technique.
IEEE Transactions on Visualization and Computer Graphics, pp. 2259-2267, 2011.

M. E. J. Amarel et al.,
A first generation whole genome RH map of the river buffalo with comparison to
domestic cattle
.
BMC Genomics 9, No. 1, 2008.

R. P. Anderson and D. Milutinovic,
The Dubins Traveling Salesperson Problem with Stochastic Dynamics.
6th Annual Dynamic Systems and Control Conference, 2013.

C. E. Andrade, F. K. Miyazawa, and M. G. C. Resende,
Evolutionary algorithm for the k-interconnected multi-depot multi-traveling salesmen
problem
.
GECCO 2013: 463-470.

D. Apiletti, E. Baralis, and T. Cerquitelli,
Energy-saving models for wireless sensor networks.
Knowledge and Information Systems, pp. 1-30, 2010.

D. L. Applegate, R. E. Bixby, V. Chvatal, W. Cook, D. G. Espinoza,
M. Goycoolea, and K. Helsgaun,
Certification of an optimal TSP tour through 85,900 cities.
Operations Research Letters, 37, pp. 11-15, 2009.

D. L. Applegate, R. E. Bixby, V. Chvátal, and W. J. Cook,
The Traveling Salesman Problem: A Computational Study.
Princeton University Press, 2006.

A. Arbelaez, C. Truchet, B. O'Sullivan,
Learning Sequential and Parallel Runtime Distributions for Randomized Algorithms.
International Conference on Tools with Artificial Intelligence, 2016.

Al. Arbelaez and Barry O’Sullivan,
Learning a Stopping Criterion for Local Search.
LION 2016, LNCS 10079, pp. 3-16, 2016.

C. Archetti, D. Feillet, A. Mor, and M. G. Speranza,
An iterated local search for the traveling salesman problem with release dates and
completion time minimization
.
Computers and Operations Research, doi: 10.1016/j.cor.2018.05.001, 2018.

C. Archetti, E. Fernández, and D. L. Huerta-Muñoz,
A two-phase solution algorithm for the Flexible Periodic Vehicle Routing Problem.
Computers and Operations Research, doi: 10.1016/j.cor.2018.05.021, 2018.

C. Archetti, D. Feillet, A. Mor, and M. G. Speranza,
Dynamic traveling salesman problem with stochastic release dates.
European Journal of Operational Research, In Press, 2019.

F. Arnold,
Efficient heuristics for routing and integrated logistics.
Ph.D thesis, Universiteit Antwerpen, 2018.

F. Arnold, M. Gendreau, K. Sörensen,
Efficiently solving very large-scale routing problems.
Computers and Operations Research, Vol. 107, pp. 32–42, 2019.

S Arshad,
Sequence Based Memetic Algorithms for Static and Dynamic Travelling Salesman
Problems
.
Ph.D. thesis, University of Leicester, 2012.

A. B. Asghar, S. L. Smith, and S. Sundaram,
Multi-Robot Routing for Persistent Monitoring with Latency Constraints.
arXiv:1903.06105 [cs.RO], 2019.

S. M. Avdoshin and E. N. Beresneva,
The Metric Travelling Salesman Problem: The Experiment On Pareto-optimal Algorithms.
Trudy ISP RAN/Proc. ISP RAS, vol. 29, issue 4, pp. 123-138, 2017.

L. Babel,
New heuristic algorithms for the Dubins traveling salesman problem.
Journal of Heuristics, https://doi.org/10.1007/s10732-020-09440-2, 2020.

F. Bachmann, H. Schaeben, and R. Hielscher,
Optimizing the experimental design of texture goniometry.
Journal of Applied Crystallography. Vol. 45, pp. 1173-1181, 2012.

J. Bae and S. Rathinam,
Approximation Algorithm for a Heterogeneous Vehicle Routing Problem.
International Journal of Advanced Robotic Systems, 12:113, DOI: 10.5772/60086, 2015.

J. Bae and W. Chung,
A Heuristic for a Heterogeneous Automated Guided Vehicle Routing Problem.
International Journal of Precision Engineering and Manufacturing, Vol. 18, No. 6,
pp. 795-801, 2017.

J. Bae and W. Chung,
A Heuristic for Path Planning of Multiple Heterogeneous Automated Guided Vehicles.
International Journal of Precision Engineering and Manufacturing, Vol. 19, No. 12,
pp. 1765-1771, 2018.

J. Bae and W. Chung,
Efficient path planning for multiple transportation robots under various loading conditions.
International Journal of Advanced Robotic Systems, DOI: 10.1177/172988, 2019.

J. Bae and W. Chung,
Heuristics for Two Depot Heterogeneous Unmanned Vehicle Path Planning to
Minimize Maximum Travel Cost
.
Sensors. Vol. 19, No. 11, 2019.

D. H. Baik and K. K. Saluja,
Progressive random access scan: a simultaneous solution to test power, test data volume
and test time
.
Proceedings of IEEE International Test Conference, pp. 272-277, 2005.

M. L. Baker, M. R. Baker, C. F. Hryc, T. Ju, and W. Chiu,
Gorgon and pathwalking: Macromolecular modeling tools for subnanometer resolution
density maps
.
Biopolymers, 97(9), pp. 655-668, 2012.

M. L. Baker, C. F. Hryc, Q. Zhang, W. Wu, J. Jakana, C. Haase-Pettingell, P. V. Afonine,
P. D. Adams, J. A. King, W. Jiang, and W. Chiu,
Validated near-atomic resolution structure of bacteriophage epsilon15 derived from
cryo-EM and modeling
.
Proc. Natl. Acad. Sci. U S A., 110(30), pp.12301-12306, 2013.

M. R. Baker, I. Rees, S. J. Ludtke, W. Chiu.,and M. L. Baker,
Constructing and validating initial Cα models from subnanometer resolution density
maps with pathwalking
.
Structure, 20(3), pp. 450-463, 2012.

P. Baniasadi, V. Ejov, J. A. Filar, M. Haythorpe, and S. Rossomakhine,
Deterministic “Snakes and Ladders” Heuristic for the Hamiltonian cycle problem.
Mathematical Programming Computation, September 2013.

P. Baniasadi, V. Ejov, J. A. Filar, M. Haythorpe, and S. Rossomakhine,
A new benchmark set for Traveling salesman problem and Hamiltonian cycle problem.
arXiv:1806.09285, [cs.DS], 2018.

P. Baniasadi, M. Foumani, K. Smith-Miles, and V. Ejov,
A Transformation Technique for the Clustered Generalized Traveling Salesman Problem
with Applications to Logistics
.
European Journal of Operational Research, 2020.

S. Banik, S. Rathinam, and P. B. Sujit,
Min-Max Path Planning Algorithms for Heterogeneous, Autonomous Underwater Vehicles.
IEEE/OES Autonomous Underwater Vehicle Workshop (AUV), pp. 1-6, 2018.

D. Barbucha, I. Czarnowski, P. Jȩdrzejowicz, E. Ratajczak-Ropel, and I. Wierzbowska,
e-JABAT - An Implementation of the Web-Based A-Team.
Intelligent Agents in the Evolution of Web and Applications, pp. 57-86, 2009.

U. Baroudi, M. Alshaboti, A. Koubaa, and S. Trigui,
Dynamic Multi-Objective Auction-Based (DYMO-Auction) Task Allocation.
Applied Scences, 10(9), 2020.

R. Barreira and J. C. Garcia,
Optimal Object Retrieval Paths in Indoor Spaces.
Report, Instituto Superior Técnico Lisboa, Portugal, 2018.

S. Basu and M. Sharma,
Preprocessing Schemes for Tabu search on Asymmetric Traveling Salesman Problem.
Working paper, Indian Institute of Management Calcutta, WPS-735, 2013.

S. Basu, M. Sharma, and P. S. Ghosh,
Efficient preprocessing methods for tabu search: an application on asymmetric travelling
salesman problem
.
INFOR, Volume 55, Issue 2, pp. 134-158, 2017.

R. Bazylevych, B. Prasad, R. Kutelmakh, R. Dupas, and L. Bazylevych,
Decomposition and Scanning Optimization Algorithms for TSP.
TMFCS, 2008.

R. Bazylevych, B. Prasad, R. Kutelmakh, R. Dupas, and L. Bazylevych,
A Decomposition Algorithm for Uniform Traveling Salesman Problem.
Proceedings of IICAI-09, pp. 47-56, 2009.

R. Bazylevych, R. Dupas, B. Prasad, B. Kuz, R. Kutelmakh, and L. Bazylevych,
A Parallel Approach for Solving a Large-Scale Traveling Salesman Problem.
Proceedings of IICAI-11 pp. 566-579, 2011.

R. Bazylevych, B. Kuz, R. Kutelmakh, R. Dupas, B. Prasad, Y. Haxhimusa, and L, Bazylevych,
A Parallel Ring Method for Solving a Large-scale Traveling Salesman Problem.
International Journal of Information Technology and Computer Science, Vol. 8, No. 5, 2016.

R. Bähnemann, N. Lawrance, J. J. Chung, M. Pantic, R. Siegwart, and J. Nieto,
Revisiting Boustrophedon Coverage Path Planning as a Generalized Traveling
Salesman Problem
.
arXiv:1907.09224 [cs.RO], 2019.

M. J. Beimers,
Tour merging via tree decomposition.
M.Sc. thesis, Utrecht University, 2015.

I. Bello, H. Pham, Q. V. Le, M. Norouzi, and S. Bengio,
Neural Combinatorial Optimization with Reinforcement Learning.
Under review as a conference paper at ICLR, 2017

P. Benchimol, W-J. Hoeve, J-C. Régin, L-M. Rousseau, and M.l Rueher,
Improved filtering for weighted circuit constraints.
Constraints, Vol. 17, Number 3, pp. 1-29, 2012.

P. Beraldi and M. E. Bruni,
A stochastic programming approach for the traveling purchaser problem,
IMA Journal of Management Mathematics, pp. 1-23, 2015.

E. Beresneva and S. Avdoshin,
Local search metaheuristics for Capacitated Vehicle Routing Problem:
a comparative study
.
Proceedings of SYRCoSE, pp. 109-117, 2019.

E. Beresneva and S. Avdoshin,
Analysis of Mathematical Formulations of Capacitated Vehicle Routing Problem
and Methods for their Solution
.
Trudy ISP RAN/Proc. ISP RAS, vol. 30, issue 3, pp. 233-250, 2018.

E. N. Beresneva and S. M. Avdoshin,
Pareto-optimal Algorithms for Metric TSP: Experimental Research.
International Journal of Open Information Technologiesm vol. 5, no .5, 2017.

J. A. Bernal-Moyano, J. W. Escobar, C. Marín-Moreno, R. Linfati, and G. Gatica,
A Computational Comparision of Heuristic Algorithmsfor the Location-Routing Problem
with Heterogenous Fleet (LRPH)
.
DYNA, vol. 84, no. 200, pp. 193-201, 2017.

J. A. Bernal-Moyano, J. W. Escobar, C. Marín-Moreno, R. Linfati, and G. Gatica,
A comparison of trajectory granular based algorithms for the location-routing problem
with heterogeneous fleet (LRPH)
.
DYNA, Volume 84, Issue 200, pp. 193-201, 2017.

A. Bevilaqua, D. Bevilaqua, and K. Yamanaka,
Parallel island based memetic algorithm with Lin-Kernighan local search for a real-life
Two-Echelon heterogeneous vehicle routing problem based on brazilian wholesale companies
.
Applied Soft Computing, In Press, 2019.

A. Bircher, K. Alexis, M. Burri, P. Oettershagen, S. Omari, T. Mantel, and R. Siegwart,
Structural Inspection Path Planning via Iterative Viewpoint Resampling with Application
to Aerial Robotics
.
IEEE International Conference on Robotics & Automation, 2015.

A. Bircher, M. Kamel, K. Alexis, M. Burri1, P. Oettershage, S. Omari, T. Mantel , and R. Siegwart,
Three-dimensional coverage path planning via viewpoint resampling and tour optimization
for aerial robots
.
Autonomous Robots, pp. 1-20, 2015.

A. Blazinskas and A. Misevicius,
Generating High Quality Candidate Sets by Tour Merging for the Traveling Salesman Problem.
Communications in Computer and Information Science, Volume 319, Part 1, pp. 62-73, 2012.

A. Blazinskas, A. Misevicius, and A. Lenkevicius,
Modified Local Search Heuristics for the Symmetric Traveling Salesman Problem.
Information Technology and Control, Vol.42, No.3, pp. 218-230, 2013.

S. Bochkarev and S. L. Smith,
On Minimizing Turns in Robot Coverage Path Planning.
IEEE Conference on Automation Science and Engineering, 2016.

S. Bochkarev,
Minimizing Turns in Single and Multi Robot Coverage Path Planning.
Ph.D. thesis, University of Waterloo, 2017.

F. Bohnen, M. Buhl, and J, Deuse,
Systematic procedure for leveling of low volume and high mix production.
CIRP Journal of Manufacturing Science and Technology, Volume 6, Issue 1, pp. 53-58, 2013.

R. I. Bolaños,
Un algoritmo metaheurístico para la solución del problema de ruteo de vehículos con
múltiples depósitos y flota heterogénea
.
Thesis, Universidad Tecnológica de Pereira, 2014.

R. I. Bolaños, J. W. Escobar, and M. G. Echeverri,
A metaheuristic algorithm for the multi-depot vehicle routing problem with
heterogeneous fleet
.
International Journal of Industrial Engineering Computations, Vol. 9, pp. 461-478, 2018.

P. Bollweg, D. Hasanbegovic, H. Müller, and M. Stöneberg,
Surface-adaptive and Collision-avoiding Path Planning for Five-axis Milling.
Universität Dortmund, Forshungsberict Nr. 808, 2006.

T. Bonny and J. Henkel,
Using Lin-Kernighan algorithm for look-up table compression to improve code density.
Proceedings of the 16th ACM Great Lakes symposium on VLSI, pp. 259-265, 2006.

T. Bonny and J. Henkel,
Efficient code density through look-up table compression.
Proceedings of the conference on Design, automation and test in Europe, pp. 809-814, 2007.

T. Bonny and J. Henkel,
Instruction Re-encoding Facilitating Dense Embedded Code.
IEEE/ACM Proc. of Design, Automation and Test in Europe Conference, pp. 770-775, 2008.

T. Bonny and J. Henkel,
Huffman-based code compression techniques for embedded processors.
ACM Transactions on Design Automation of Electronic Systems, 15(4), Article 31, 2010.

U. Boryczka and Ł. Strąk,
Efficient DPSO Neighbourhood for Dynamic Traveling Salesman Problem.
Proceedings of the 5th International Conference on Computational Collective Intelligence,
pp. 721-730, 2016.

J. Bossek and H. Trautmann,
Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP
Solvers with Maximum Performance Difference
.
Conference of the Italian Association for Artificial Intelligence, pp. 3-12, 2016.

J. Bossek and H. Trautmann,
Evolving Instances for Maximizing Performance Differences of State-of-the-Art
Inexact TSP Solvers
.
International Conference on Learning and Intelligent Optimization, pp. 48-59, 2016.

J. Bossek, C. Grimme, S. Meisel, G. Rudolph, and H. Trautmann,
Local Search Effects in Bi-Objective Orienteering.
Proceedings of GECCO '18, pp. 585-592, 2018.

J. Bossek, P. Kerschke, A. Neumann, M. Wagner, F. Neumann, and H. Trautmann,
Evolving diverse TSP instances by means of novel and creative mutation operators.
Proceedings of FOGA, 2019.

J. Bossek, P. Kerschke, and H. Trautmann,
A multi-objective perspective on performance assessment and automated selection
of single-objective optimization algorithms
.
In Press, Applied Soft Computing Journal, 2019.

J. Bossek, P. Kerschke, and H. Trautmann,
Anytime Behavior of Inexact TSP Solvers and Prespectives for Automated Algorithm
Selection
.
arXiv:2005.13489v1 [cs.AI], 2020.

S. Brown,
Coverage Path Planning and Room Segmentation in Indoor Environments using the
Constriction Decomposition Method
.
M.Sc. thesis, University of Waterloo, 2017.

S. I. Brown, R. G. McGarvey, and J. A. Ventura,
Total flowtime and makespan for a no-wait m-machine flowshop with set-up times separated.
Journal of the Operational Research Society, Volume 55, Number 6, pp. 614-621, 2004.

L. P. Buriol, França, and P. Moscato,
A New Memetic Algorithm for the Asymmetric Traveling Salesman Problem.
Journal of Heuristics, 10, pp. 483-506, 2004.

L. P. Cáceres, F. Pagnozzi, A. Franzin, and T. Stützle,
Automatic configuration of GCC using irace.
IRIDIA - Technical Report Series, TR/IRIDIA/2017-008, 2017.

Z. S. A. Calheiros,
O problema do caixeiro viajante com passageiros.
Thesis, Universidade Federal do Rio Grande do Norte, 2017.

H. I. Calvete, C. Galé, and J. A. Iranzo,.
An efficient evolutionary algorithm for the ring star problem.
European Journal of Operational Research, Volume 231, Issue 1, pp. 22-33, 2013.

H. I. Calvete, C. Galé, and J. A. Iranzo,
MEALS: A Multiobjective Evolutionary Algorithm with Local Search for solving the
bi-objective ring star problem
.

European Journal of Operational Research, Vol. 250, Issue 2, pp. 377-388, 2016.

L. P. Cáceres, F. Pagnozzi, A. Framnzin, and T. Stützle,
Automatic configuration of GCC using irace.
Techinal report,TR/IRIDIA/2017-008, 2017.

D. Carrara,
Graph-based Word Sense Disambiguation.
Bachelor thesis, University of Milan, 2018.

K. Castelino, R. D’Souza, and P. K. Wright,
Tool-path Optimization for Minimizing Airtime during Machining.
Journal of Manufacturing Systems, Volume 22, part 3, pp 173-180, 2003.

A. Cerdeira-Pena, L. Carpente, and C. Amiama,
Optimised forage harvester routes as solutions to a traveling salesman problem with
clusters and time windows
.
Biosystems Engineering, Violume 164, pp. 110-123, 2017.

K. Chakrabarty and J. E. Chen,
A cocktail approach on random access scan toward low power and high efficiency test.
Proceedings of the 2005 IEEE/ACM International conference on Computer-aided design,
pp. 94-99, 2005.

M. Chen, P. R. Baldwin, S. J. Ludtke, and M. L. Baker,
De Novo Modeling in Cryo-EM Density Maps with Pathwalking.
Journal of Structural Biology, Accepted manuscript, 2016.

X. Chen,
5-Axis Coverage Path Planning with Deep Reinforcement Learning and Fast Parallel
Collision Detection
.
Ph.D. thesis, Georgia Institute of Technology, 2020.

T. Chin, P. Ramanathan, and K. K. Saluja,
Collaborative patrolling for target detection using mobile sensor networks.
Proceedings of the IEEE Internatioanl Conference on Wireless Communications
and Signal Processing (WCSP), 2010.

D.-H. Cho, D-S. Jang, and H.-L. Choi,
Heterogeneous, Multiple Depot Multi-UAV Path Planning for Remote Sensing Tasks.
AIAA SciTech Forum (AIAA 2018-0894), 2018.

D.-H. Cho, D-S. Jang, and H.-L. Choi,
Sampling-Based Tour Generation of Arbitrarily Oriented Dubins Sensor Platforms.
Journal of Aerospace Information Systems, Vol. 16, Issue ,. pp. 168-186, 2019.

D.-H. Cho, D-S. Jang, and H.-L. Choi,
Memetic Algorithm-Based Path Generation for Multiple Dubins Vehicles
Performing Remote Tasks
.
arXiv:1808.02720 [cs.MA], 2018.

D.-H. Cho, and H.-L. Choi,
A Traveling Salesman Problem-Based Approach to Observation Scheduling for
Satellite Constellation
.
International Journal of Aeronautical and Space Sciences,
doi.org/10.1007/s42405-019-00151-y, 2019.

D.-H. Cho,
Tour generation of heterogeneous nonholonomic sensor platforms.
Ph.D. thesis, College of Engineering, 2019.

M. Cho,
Physical Synthesis for Nanometer VLSI and Emerging Technologies.
Ph.D. thesis, University of Texas at Austin, 2008.

M. Cho, H. Xiang, R. Puri, and D. Z. Pan,
Track Routing and Optimization for Yield.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems,
27(5), pp. 872-882, 2008.

S. Choudhary,
M-Crawler: Crawling Rich Internet Applications Using Menu Meta-Model.
Thesis, University of Ottawa, 2012.

A. Cristian, L. Marshall, M. Negrea, F. Stoichescu, and P. Cao,
Multi-Itinerary Optimization as Cloud Service.
SIGSPATIAL '19, 2019.

Chung-Cheng, Shih-Wei Lin, and Kuo-Ching Ying,
Minimizing worst-case regret of makespan on a single machine with uncertain
processing and setup times
.
Applied Soft Computing, Volume 23, pp. 144-151, 2014.

L. Chunli and M. Ke,
The Disk Covering Tour Problem in the Wireless Sensor Network.
The Open Automation and Control Systems Journal, 6, pp. 1169-1175, 2014.

W. Cook and P. Seymour,
Tour Merging via Branch-Decomposition.
INFORMS Journal on Computing 15(3), pp. 233-248, 2003.

W. Cook, D. G. Espinoza, and M. Goycoolea,
Computing with Domino-Parity Inequalities for the Traveling Salesman Problem (TSP).
INFORMS Journal on Computing, Vol. 19, No. 3, pp. 356–365, 2007.

W. Cook,
In Pursuit of the Traveling Salesman: Mathematics at the Limits of Computation.
Princeton University Press, 2012.

J.-F. Cordeau, D. Laganà, D., R. Musmanno, and F. Vocaturo,
A Decomposition-Based Heuristic for a Multiple-Product Inventory Routing Problem.
Computers & Operations Research, November 2013.

M. Cornu,
Local Search, data structures and Monte Carlo Search for Multi-Objective Combinatorial
Optimization Problems
.
PSL Research University, 2017.

T. T. Dam, D. T. Nguyen , Q. T. Bui, and T. K. Do,
On the Traveling Salesman Problem with Hierarchical Objective Function.
International Conference on Knowledge and Systems Engineering, 2019.

H. Das and S. Kumar,
A Parallel TSP-Based Algorithm for Balanced Graph Partitioning.
46th International Conference on Parallel Processing, 2017.

O. Davtalab, A. Kazemian, and B. Khoshnevis,
Perspectives on a BIM-integrated software platform for robotic construction through
Contour Crafting
.
Automation in Construction, Volume 89, pp. 13–23, 2018.

M. Dell’Amico, R. Montemanni, and S. Novellani,
Matheuristic algorithms for the parallel drone scheduling traveling salesman problem.
arXiv:1906.02962 [math.OC], 2019.

M. Dell’Amico, R. Montemanni, and S. Novellani,
Models and algorithms for the Flying Sidekick Traveling Salesman Problem.
arXiv:1910.02559 [math.OC], 2019.

M. Deng, J. Zhang, Y. Liang, G. Lin, and W. Liu,
A Novel Simple Candidate Set Method for Symmetric TSP and Its Application in
MAX-MIN Ant System
.
Lecture Notes in Computer Science, vol 7331, pp. 173-181, 2012.

A. Devari,
Crowdsourced last mile delivery using social network.
M.Sc. thesis, State University of New York, 2016.

A. Devari, G. A, G. Nikolaev, and Q. He,
Crowdsourcing the last mile delivery of online orders by exploiting the social networks
of retail store customers
.
Transportation Research Part E: Logistics and Transportation,
Volume 105, pp.105-122, 2017.

R. Dewil, P. Vansteenwegen, and D. Cattrysse,
Construction heuristics for generating tool paths for laser cutters.
Submtted to International Journal of Production Research, 2014.

R. Dewil, P. Vansteenwegen, D. Cattrysse, M. Laguna, and T. Vossen,
An improvement heuristic framework for the laser cutting tool path problem.
International Journal of Production Research, pp. 1-18, 2014.

H. Ding and D. Castañón,
Fast Algorithms for UAV Tasking and Routing.
IEEE Multi-Conference on Systems and Control, 2016.

H. Ding, E. Cristofalo, J. Wang, D. Castañón, E. Montijano, V. Saligrama,
and M. Schwager,
A multi-resolution approach for discovery and 3-D modeling of archaeological
sites using satellite imagery and a UAV-borne camera
.
Proceedings of the American Control Conference, 2016.

Y. Ding, W. Luo, and K. P. Sycara,
Decentralized Multiple Mobile Depots Route Planning for Replenishing
Persistent Surveillance Robots
.
Proceedings of MRS, 2019.

Y. Ding, W. Luo, and K. P. Sycara,
Heuristic-Based Multiple Mobile Depots Route Planning for Recharging
Persistent Surveillance Robots
.
International Conference on Intelligent Robots and Systems (IROS), 2019.

Y. Ding, B. Xin, and J. Chen,
Precedence-constrained path planning of messenger UAV for air-ground coordination.
Control Theory and Technology, Vol. 17, No. 1, pp. 13–23, 2019.

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K. Helsgaun,
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K. Helsgaun,
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Computer Science Report #143, Roskilde University, 2014.

K. Helsgaun,
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T. Henke, M. G Speranza, and G. Wäscher,
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K. Holmberg,
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M. Horvat,
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M. Horvat and W. Byrne,
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M. Hosseinabady, S. Sharifi, F. Lombardi, and Z. Navabi,
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A. Hottung and K. Tierney,
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S. Hougardy and R. T. Schroeder,
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R. Houston,
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S. H. Jacobson,
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