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Ant Colony Optimization (ACO) is a meta-heuristic algorithm that has been successfully applied to various Combinatorial Optimization Problems (COPs).
Simple statistical gradient-following algorithms for connectionist reinforcement learning
R. J. Williams · 1992
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Ant system: optimization by a colony of cooperating agents
M. Dorigo, V. Maniezzo, and A. Colorni · 1996
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Psplib - a project scheduling problem library: Or software - orsep operations research software exchange program
R. Kolisch and A. Sprecher · 1997
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Solving the orienteering problem through branch-and-cut
M. Fischetti, J. J. S. Gonzalez, and P. Toth · 1998
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A new version of ant system for subset problems
G. Leguizamon and Z. Michalewicz · 1999
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Max–min ant system
T. Stützle and H. H. Hoos · 2000
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Ant colony optimization for resource-constrained project scheduling
D. Merkle, M. Middendorf, and H. Schmeck · 2002
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Ant colony optimization and local search for bin packing and cutting stock problems
J. Levine and F. Ducatelle · 2004
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Beam-aco—hybridizing ant colony optimization with beam search: An application to open shop scheduling
C. Blum · 2005
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Ant colony optimization
M. Dorigo, M. Birattari, and T. Stutzle · 2006
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Solution bias in ant colony optimisation: Lessons for selecting pheromone models
J. Montgomery, M. Randall, and T. Hendtlass · 2008
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A hybrid genetic algorithm for multidepot and periodic vehicle routing problems
T. Vidal, T. G. Crainic, M. Gendreau, N. Lahrichi, and W. Rei · 2012
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Hyper-heuristics: A survey of the state of the art
E. K. Burke, M. Gendreau, M. Hyde, G. Kendall, G. Ochoa, E. Özcan, and R. Qu · 2013
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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An advanced aco algorithm for feature subset selection
S. Kashef and H. Nezamabadi-pour · 2015
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Population-based ant colony optimization for sequential ordering problem
R. Skinderowicz · 2015
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Pointer networks
O. Vinyals, M. Fortunato, and N. Jaitly · 2015
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Neural combinatorial optimization with reinforcement learning
I. Bello, H. Pham, Q. V. Le, M. Norouzi, and S. Bengio · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Sigmoid-weighted linear units for neural network function approximation in reinforcement learning
S. Elfwing, E. Uchibe, and K. Doya · 2017
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Comparative study of pheromone control heuristics in aco algorithms for solving rcpsp problems
A. Gonzalez-Pardo, J. Del Ser, and D. Camacho · 2017
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An extension of the lin-kernighan-helsgaun tsp solver for constrained traveling salesman and vehicle routing problems
K. Helsgaun · 2017
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Learning combinatorial optimization algorithms over graphs
E. Khalil, H. Dai, Y. Zhang, B. Dilkina, and L. Song · 2017
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Proximal policy optimization algorithms
J. Schulman, F. Wolski, P. Dhariwal, A. Radford, and O. Klimov · 2017
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An improved ant colony system for the sequential ordering problem
R. Skinderowicz · 2017
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Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova · 2018
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Soft actor-critic algorithms and applications
T. Haarnoja, A. Zhou, K. Hartikainen, G. Tucker, S. Ha, J. Tan, V. Kumar, H. Zhu, A. Gupta, P. Abbeel, et al · 2018
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Attention, learn to solve routing problems!
W. Kool, H. Van Hoof, and M. Welling · 2018
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Reinforcement learning for solving the vehicle routing problem
M. Nazari, A. Oroojlooy, L. Snyder, and M. Takác · 2018
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Learning to perform local rewriting for combinatorial optimization
X. Chen and Y. Tian · 2019
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Ant colony optimization: overview and recent advances
M. Dorigo and T. Stützle · 2019
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Hybrid elitist-ant system for nurse-rostering problem
G. M. Jaradat, A. Al-Badareen, M. Ayob, M. Al-Smadi, I. Al-Marashdeh, M. Ash-Shuqran, and E. Al-Odat · 2019
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An efficient graph convolutional network technique for the travelling salesman problem
C. K. Joshi, T. Laurent, and X. Bresson · 2019
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A weighted population update rule for paco applied to the single machine total weighted tardiness problem
Learning to solve vehicle routing problems: A survey
A. Bogyrbayeva, M. Meraliyev, T. Mustakhov, and B. Dauletbayev · 2022
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A dynamic space reduction ant colony optimization for capacitated vehicle routing problem
J. Cai, P. Wang, S. Sun, and H. Dong · 2022
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Reinforcement learning for practical express systems with mixed deliveries and pickups
J. Chen, Z. Zong, Y. Zhuang, H. Yan, D. Jin, and Y. Li · 2022
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Simulation-guided beam search for neural combinatorial optimization
J. Choo, Y.-D. Kwon, J. Kim, J. Jae, A. Hottung, K. Tierney, and Y. Gwon · 2022
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Deep reinforcement learning for uav routing in the presence of multiple charging stations
M. Fan, Y. Wu, T. Liao, Z. Cao, H. Guo, G. Sartoretti, and G. Wu · 2022
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D. Abitz, T. Hartmann, and M. Middendorf · 2020
Cited alongside, same era.
A hybrid augmented ant colony optimization for the multi-trip capacitated arc routing problem under fuzzy demands for urban solid waste management
E. Babaee Tirkolaee, I. Mahdavi, M. M. Seyyed Esfahani, and G.-W. Weber · 2020
Cited alongside, same era.
Recent advances in selection hyper-heuristics
J. H. Drake, A. Kheiri, E. Özcan, and E. K. Burke · 2020
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Hybrid ant colony optimization algorithm for multiple knapsack problem
S. Fidanova · 2020
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An enhanced heuristic ant colony optimization for mobile robot path planning
W. Gao, Q. Tang, B. Ye, Y. Yang, and J. Yao · 2020
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Pomo: Policy optimization with multiple optima for reinforcement learning
Y.-D. Kwon, J. Choo, B. Kim, I. Yoon, Y. Gwon, and S. Min · 2020
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Evolutionary algorithms and their applications to engineering problems
A. Slowik and H. Kwasnicka · 2020
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Neural combinatorial optimization: a new player in the field
A. I. Garmendia, J. Ceberio, and A. Mendiburu · 2022
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Combining reinforcement learning and optimal transport for the traveling salesman problem
Y. L. Goh, W. S. Lee, X. Bresson, T. Laurent, and N. Lim · 2022
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Generalize learned heuristics to solve large-scale vehicle routing problems in real-time
Q. Hou, J. Yang, Y. Su, X. Wang, and Y. Deng · 2022
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Learning to solve routing problems via distributionally robust optimization
Y. Jiang, Y. Wu, Z. Cao, and J. Zhang · 2022
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Learning the travelling salesperson problem requires rethinking generalization
C. K. Joshi, Q. Cappart, L.-M. Rousseau, and T. Laurent · 2022
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Sym-nco: Leveraging symmetricity for neural combinatorial optimization
M. Kim, J. Park, and J. Park · 2022
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Deep policy dynamic programming for vehicle routing problems
W. Kool, H. van Hoof, J. Gromicho, and M. Welling · 2022
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Dimes: A differentiable meta solver for combinatorial optimization problems
R. Qiu, Z. Sun, and Y. Yang · 2022
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A study of ant-based pheromone spaces for generation constructive hyper-heuristics
E. Singh and N. Pillay · 2022
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Improving ant colony optimization efficiency for solving large tsp instances
R. Skinderowicz · 2022
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Boosting ant colony optimization via solution prediction and machine learning
Y. Sun, S. Wang, Y. Shen, X. Li, A. T. Ernst, and M. Kirley · 2022
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Hybrid genetic search for the cvrp: Open-source implementation and swap* neighborhood
T. Vidal · 2022
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Parameter adaptation-based ant colony optimization with dynamic hybrid mechanism
X. Zhou, H. Ma, J. Gu, H. Chen, and W. Deng · 2022
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An effective hybrid ant colony optimization for the knapsack problem using multi-directional search
I. BenMansour · 2023
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Rl4co: an extensive reinforcement learning for combinatorial optimization benchmark
F. Berto, C. Hua, J. Park, M. Kim, H. Kim, J. Son, H. Kim, J. Kim, and J. Park · 2023
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Select and optimize: Learning to solve large-scale tsp instances
H. Cheng, H. Zheng, Y. Cong, W. Jiang, and S. Pu · 2023
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Pointerformer: Deep reinforced multi-pointer transformer for the traveling salesman problem
Y. Jin, Y. Ding, X. Pan, K. He, L. Zhao, T. Qin, L. Song, and J. Bian · 2023
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H-tsp: Hierarchically solving the large-scale travelling salesman problem
X. Pan, Y. Jin, Y. Ding, M. Feng, L. Zhao, L. Song, and J. Bian · 2023
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Stochastic economic lot scheduling via self-attention based deep reinforcement learning
W. Song, N. Mi, Q. Li, J. Zhuang, and Z. Cao · 2023
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Difusco: Graph-based diffusion solvers for combinatorial optimization
Z. Sun and Y. Yang · 2023
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Asp: Learn a universal neural solver!
C. Wang, Z. Yu, S. McAleer, T. Yu, and Y. Yang · 2023
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Neural airport ground handling
Y. Wu, J. Zhou, Y. Xia, X. Zhang, Z. Cao, and J. Zhang · 2023
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A bi-population clan-based genetic algorithm for heat pipe-constrained component layout optimization
H. Ye, H. Liang, T. Yu, J. Wang, and H. Guo · 2023
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