A review of the role of heuristics in stochastic optimisation: from metaheuristics to learnheuristics
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Title
A review of the role of heuristics in stochastic optimisation: from metaheuristics to learnheuristics
Authors
Keywords
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Journal
ANNALS OF OPERATIONS RESEARCH
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-06-08
DOI
10.1007/s10479-021-04142-9
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Note: Only part of the references are listed.- An iterative matheuristic for the inventory routing problem
- (2021) Simen T. Vadseth et al. COMPUTERS & OPERATIONS RESEARCH
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- (2021) Absalom E. Ezugwu et al. ARTIFICIAL INTELLIGENCE REVIEW
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- (2020) Hamit Taner Ünal et al. DEFENCE SCIENCE JOURNAL
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- (2020) Leandro do C. Martins et al. International Transactions in Operational Research
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- (2020) Christopher Bayliss et al. APPLIED SOFT COMPUTING
- Multi-objective metaheuristics for discrete optimization problems: A review of the state-of-the-art
- (2020) Qi Liu et al. APPLIED SOFT COMPUTING
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- (2020) Andrea Rossi et al. COMPUTERS & INDUSTRIAL ENGINEERING
- A simheuristic algorithm for the stochastic permutation flow‐shop problem with delivery dates and cumulative payoffs
- (2020) Pedro A. Villarinho et al. International Transactions in Operational Research
- Optimization problems for machine learning: A survey
- (2020) Claudio Gambella et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Speeding up computational times in simheuristics combining genetic algorithms with discrete-Event simulation
- (2020) M. Rabe et al. SIMULATION MODELLING PRACTICE AND THEORY
- An actor-critic deep reinforcement learning approach for metro train scheduling with rolling stock circulation under stochastic demand
- (2020) Cheng-shuo Ying et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Fuzzy Simheuristics: Solving Optimization Problems under Stochastic and Uncertainty Scenarios
- (2020) Diego Oliva et al. Mathematics
- Optimizing ride-sharing operations in smart sustainable cities: Challenges and the need for agile algorithms
- (2020) Leandro do C. Martins et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Combining simheuristics with Petri nets for solving the stochastic vehicle routing problem with correlated demands
- (2020) Juan I. Latorre-Biel et al. EXPERT SYSTEMS WITH APPLICATIONS
- Discrete simulation-based optimization methods for industrial engineering problems: A systematic literature review
- (2019) Wilson Trigueiro de Sousa Junior et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Machine learning for high-dimensional dynamic stochastic economies
- (2019) Simon Scheidegger et al. Journal of Computational Science
- Stochastic mixed-model assembly line sequencing problem: Mathematical modeling and Q-learning based simulated annealing hyper-heuristics
- (2019) H. Mosadegh et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- From Predictive to Prescriptive Analytics
- (2019) Dimitris Bertsimas et al. MANAGEMENT SCIENCE
- A matheuristic for the vehicle routing problem with drones and its variants
- (2019) Daniel Schermer et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Robust solutions in multi-objective stochastic permutation flow shop problem
- (2019) Eliana María González-Neira et al. COMPUTERS & INDUSTRIAL ENGINEERING
- A concise guide to existing and emerging vehicle routing problem variants
- (2019) Thibaut Vidal et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- A simheuristic algorithm for the capacitated location routing problem with stochastic demands
- (2019) Carlos L. Quintero-Araujo et al. Journal of Simulation
- A taxonomic review of metaheuristic algorithms for solving the vehicle routing problem and its variants
- (2019) Raafat Elshaer et al. COMPUTERS & INDUSTRIAL ENGINEERING
- The location routing problem using electric vehicles with constrained distance
- (2019) Abdullah Almouhanna et al. COMPUTERS & OPERATIONS RESEARCH
- A Survey of Optimization Methods From a Machine Learning Perspective
- (2019) Shiliang Sun et al. IEEE Transactions on Cybernetics
- Solving large-scale time capacitated arc routing problems: from real-time heuristics to metaheuristics
- (2018) Jesica de Armas et al. ANNALS OF OPERATIONS RESEARCH
- Combining variable neighborhood search with simulation for the inventory routing problem with stochastic demands and stock-outs
- (2018) Aljoscha Gruler et al. COMPUTERS & INDUSTRIAL ENGINEERING
- A Matheuristic Method for the Electric Vehicle Routing Problem with Time Windows and Fast Chargers
- (2018) Merve Keskin et al. COMPUTERS & OPERATIONS RESEARCH
- A Stochastic Multi-Period Industrial Hazardous Waste Location-Routing Problem: Integrating NSGA-II and Monte Carlo Simulation
- (2018) M. Rabbani et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Modeling and solving the non-smooth arc routing problem with realistic soft constraints
- (2018) Jesica de Armas et al. EXPERT SYSTEMS WITH APPLICATIONS
- Metaheuristics in Telecommunication Systems: Network Design, Routing, and Allocation Problems
- (2018) Stephanie Alvarez Fernandez et al. IEEE Systems Journal
- Multiobjective Metaheuristic to Design RNA Sequences
- (2018) Alvaro Rubio-Largo et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A simheuristic algorithm to set up starting times in the stochastic parallel flowshop problem
- (2018) Sara Hatami et al. SIMULATION MODELLING PRACTICE AND THEORY
- A variable neighborhood search simheuristic for the multiperiod inventory routing problem with stochastic demands
- (2018) Aljoscha Gruler et al. International Transactions in Operational Research
- Balanced vehicle routing: Polyhedral analysis and branch-and-cut algorithm
- (2018) Tolga Bektaş et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- A simheuristic approach for the two-dimensional vehicle routing problem with stochastic travel times
- (2018) Daniel Guimarans et al. SIMULATION MODELLING PRACTICE AND THEORY
- A machine learning based stochastic optimization framework for a wind and storage power plant participating in energy pool market
- (2018) Jose L. Crespo-Vazquez et al. APPLIED ENERGY
- The Weapon-Target Assignment Problem
- (2018) Alexander Kline et al. COMPUTERS & OPERATIONS RESEARCH
- Enhancing and extending the classical GRASP framework with biased randomisation and simulation
- (2018) Daniele Ferone et al. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
- Waste collection under uncertainty: a simheuristic based on variable neighbourhood search
- (2017) Aljoscha Gruler et al. European Journal of Industrial Engineering
- Solving the deterministic and stochastic uncapacitated facility location problem: from a heuristic to a simheuristic
- (2017) Jesica de Armas et al. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
- An iterative biased-randomized heuristic for the fleet size and mix vehicle-routing problem with backhauls
- (2017) Javier Belloso et al. International Transactions in Operational Research
- Designing e-commerce supply chains: a stochastic facility-location approach
- (2017) Adela Pagès-Bernaus et al. International Transactions in Operational Research
- Using horizontal cooperation concepts in integrated routing and facility-location decisions
- (2017) Carlos L. Quintero-Araujo et al. International Transactions in Operational Research
- A simheuristic algorithm for solving the arc routing problem with stochastic demands
- (2017) Sergio Gonzalez-Martin et al. Journal of Simulation
- Learnheuristics: hybridizing metaheuristics with machine learning for optimization with dynamic inputs
- (2017) Laura Calvet et al. Open Mathematics
- Best subset selection via a modern optimization lens
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- Combining statistical learning with metaheuristics for the Multi-Depot Vehicle Routing Problem with market segmentation
- (2016) Laura Calvet et al. COMPUTERS & INDUSTRIAL ENGINEERING
- A discrete-event driven metaheuristic for dynamic home service routing with synchronised trip sharing
- (2016) Christian Fikar et al. European Journal of Industrial Engineering
- A biased-randomized metaheuristic for the capacitated location routing problem
- (2016) Carlos L. Quintero-Araujo et al. International Transactions in Operational Research
- SimILS: a simulation-based extension of the iterated local search metaheuristic for stochastic combinatorial optimization
- (2016) Alex Grasas et al. Journal of Simulation
- A hybrid metaheuristic for the vehicle routing problem with stochastic demand and duration constraints
- (2015) Jorge E. Mendoza et al. JOURNAL OF HEURISTICS
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- A simheuristic algorithm for solving the permutation flow shop problem with stochastic processing times
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- A simulation-optimization approach to deploy Internet services in large-scale systems with user-provided resources
- (2014) Guillem Cabrera et al. SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL
- Synergies between operations research and data mining: The emerging use of multi-objective approaches
- (2012) David Corne et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Using parallel & distributed computing for real-time solving of vehicle routing problems with stochastic demands
- (2011) Angel A. Juan et al. ANNALS OF OPERATIONS RESEARCH
- Evolutionary Computation Meets Machine Learning: A Survey
- (2011) Jun Zhang et al. IEEE Computational Intelligence Magazine
- A survey on metaheuristics for stochastic combinatorial optimization
- (2008) Leonora Bianchi et al. Natural Computing
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