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Ising machines as hardware solvers of combinatorial optimization problems
Nature Reviews Physics, 2022Ising machines are hardware solvers that aim to find the absolute or approximate ground states of the Ising model. The Ising model is of fundamental computational interest because any problem in the complexity class NP can be formulated as an Ising ...
Naeimeh Mohseni, P. McMahon, T. Byrnes
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IEEE Transactions on Knowledge and Data Engineering, 2023
Ride hailing has become prevailing. Central in ride hailing platforms is taxi order dispatching which involves recommending a suitable driver for each order.
Yongxin Tong +5 more
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Ride hailing has become prevailing. Central in ride hailing platforms is taxi order dispatching which involves recommending a suitable driver for each order.
Yongxin Tong +5 more
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Oberwolfach Reports, 2006
For more than 30 years, meetings on Combinatorial Optimization have established a long and successful tradition at Oberwolfach. In fact, Combinatorial Optimization is a particularly active research area with links to many other areas in mathematics, e.g., to Combinatorics, Graph Theory, Geometry and Integer Programming. Furthermore, there are important
Rainer E. Burkard +2 more
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For more than 30 years, meetings on Combinatorial Optimization have established a long and successful tradition at Oberwolfach. In fact, Combinatorial Optimization is a particularly active research area with links to many other areas in mathematics, e.g., to Combinatorics, Graph Theory, Geometry and Integer Programming. Furthermore, there are important
Rainer E. Burkard +2 more
+4 more sources
Oberwolfach Reports, 2009
Combinatorial Optimization remains a very lively discipline with strong connections to Combinatorics, Graph Theory, Geometry, and Integer Programming. For over thirty years, Oberwolfach workshops have had a central role in shaping the field, being the unique setting where the entire spectrum of the subject is covered, from fundamental theory to ...
William J. Cook +2 more
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Combinatorial Optimization remains a very lively discipline with strong connections to Combinatorics, Graph Theory, Geometry, and Integer Programming. For over thirty years, Oberwolfach workshops have had a central role in shaping the field, being the unique setting where the entire spectrum of the subject is covered, from fundamental theory to ...
William J. Cook +2 more
openaire +2 more sources
Oberwolfach Reports, 2015
Combinatorial Optimization is an area of mathematics that thrives from a continual influx of new questions and problems from practice. Attacking these problems has required the development and combination of ideas and techniques from different mathematical areas including graph theory, matroids and combinatorics, convex and nonlinear optimization ...
Gérard P. Cornuéjols +2 more
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Combinatorial Optimization is an area of mathematics that thrives from a continual influx of new questions and problems from practice. Attacking these problems has required the development and combination of ideas and techniques from different mathematical areas including graph theory, matroids and combinatorics, convex and nonlinear optimization ...
Gérard P. Cornuéjols +2 more
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Deep reinforcement learning for transportation network combinatorial optimization: A survey
Knowledge-Based Systems, 2021Traveling salesman and vehicle routing problems with their variants, as classic combinatorial optimization problems, have attracted considerable attention for decades of their theoretical and practical value.
Qi Wang, Chunlei Tang
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Multi-Objective Neural Evolutionary Algorithm for Combinatorial Optimization Problems
IEEE Transactions on Neural Networks and Learning Systems, 2021There has been a recent surge of success in optimizing deep reinforcement learning (DRL) models with neural evolutionary algorithms. This type of method is inspired by biological evolution and uses different genetic operations to evolve neural networks ...
Yinan Shao +6 more
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Oberwolfach Reports, 2012
Combinatorial Optimization is a very active field that benefits from bringing together ideas from different areas, e.g., graph theory and combinatorics, matroids and submodularity, connectivity and network flows, approximation algorithms and mathematical programming, discrete and computational geometry, discrete and continuous problems, algebraic and ...
Michel X. Goemans +2 more
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Combinatorial Optimization is a very active field that benefits from bringing together ideas from different areas, e.g., graph theory and combinatorics, matroids and submodularity, connectivity and network flows, approximation algorithms and mathematical programming, discrete and computational geometry, discrete and continuous problems, algebraic and ...
Michel X. Goemans +2 more
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Ant Colony Sampling with GFlowNets for Combinatorial Optimization
International Conference on Artificial Intelligence and StatisticsWe present the Generative Flow Ant Colony Sampler (GFACS), a novel meta-heuristic method that hierarchically combines amortized inference and parallel stochastic search.
Minsu Kim +5 more
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A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
International Conference on Machine LearningLearning to sample from intractable distributions over discrete sets without relying on corresponding training data is a central problem in a wide range of fields, including Combinatorial Optimization.
Sebastian Sanokowski +2 more
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