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07/16/2021
MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary Learning for Multiobjective Optimization
Learning-based heuristics for solving combinatorial optimization problem...
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05/06/2021
Meta-Learning-based Deep Reinforcement Learning for Multiobjective Optimization Problems
Deep reinforcement learning (DRL) has recently shown its success in tack...
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02/13/2020
MODRL/D-AM: Multiobjective Deep Reinforcement Learning Algorithm Using Decomposition and Attention Model for Multiobjective Optimization
Recently, a deep reinforcement learning method is proposed to solve mult...
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02/09/2020
A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems
Recent researches show that machine learning has the potential to learn ...
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06/22/2019
Collective Mobile Sequential Recommendation: A Recommender System for Multiple Taxicabs
Mobile sequential recommendation was originally designed to find a promi...
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09/17/2014
A Tabu Search Algorithm for the Multi-period Inspector Scheduling Problem
This paper introduces a multi-period inspector scheduling problem (MPISP...
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01/23/2014