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08/31/2023
Individually Rational Collaborative Vehicle Routing through Give-And-Take Exchanges
In this paper, we are concerned with the automated exchange of orders be...
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08/17/2023
A Feasibility-Preserved Quantum Approximate Solver for the Capacitated Vehicle Routing Problem
The Capacitated Vehicle Routing Problem (CVRP) is an NP-optimization pro...
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12/07/2022
The BeMi Stardust: a Structured Ensemble of Binarized Neural Networks
Binarized Neural Networks (BNNs) are receiving increasing attention due ...
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11/01/2022
Operator Selection in Adaptive Large Neighborhood Search using Deep Reinforcement Learning
Large Neighborhood Search (LNS) is a popular heuristic for solving combi...
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03/19/2021
QROSS: QUBO Relaxation Parameter Optimisation via Learning Solver Surrogates
An increasingly popular method for solving a constrained combinatorial o...
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04/09/2018
Policy Gradient With Value Function Approximation For Collective Multiagent Planning
Decentralized (PO)MDPs provide an expressive framework for sequential de...
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03/27/2018
Entropy Controlled Non-Stationarity for Improving Performance of Independent Learners in Anonymous MARL Settings
With the advent of sequential matching (of supply and demand) systems (u...
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08/27/2017
Local Gaussian Processes for Efficient Fine-Grained Traffic Speed Prediction
Traffic speed is a key indicator for the efficiency of an urban transpor...
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01/18/2014
Robust Local Search for Solving RCPSP/max with Durational Uncertainty
Scheduling problems in manufacturing, logistics and project management h...
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10/16/2012
Dynamic Stochastic Orienteering Problems for Risk-Aware Applications
Orienteering problems (OPs) are a variant of the well-known prize-collec...
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10/16/2012