- Home
- Publications
- Publication Search
- Publication Details
Title
Machine Learning into Metaheuristics
Authors
Keywords
-
Journal
ACM COMPUTING SURVEYS
Volume 54, Issue 6, Pages 1-32
Publisher
Association for Computing Machinery (ACM)
Online
2021-07-14
DOI
10.1145/3459664
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization
- (2020) Xilu Wang et al. INFORMATION SCIENCES
- A surrogate-assisted particle swarm optimization using ensemble learning for expensive problems with small sample datasets
- (2020) Chaodong Fan et al. APPLIED SOFT COMPUTING
- Heuristic algorithms based on deep reinforcement learning for quadratic unconstrained binary optimization
- (2020) Ming Chen et al. KNOWLEDGE-BASED SYSTEMS
- Surrogate-assisted grey wolf optimization for high-dimensional, computationally expensive black-box problems
- (2020) Huachao Dong et al. Swarm and Evolutionary Computation
- Clustering-driven evolutionary algorithms: an application of path relinking to the quadratic unconstrained binary optimization problem
- (2019) Michele Samorani et al. JOURNAL OF HEURISTICS
- A data-driven robust optimization approach to scenario-based stochastic model predictive control
- (2019) Chao Shang et al. JOURNAL OF PROCESS CONTROL
- A parallel multi-objective genetic algorithm with learning based mutation for railway scheduling
- (2019) Krisanarach Nitisiri et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Application of deep learning based multi-fidelity surrogate model to robust aerodynamic design optimization
- (2019) Jun Tao et al. AEROSPACE SCIENCE AND TECHNOLOGY
- Recent Advances in Selection Hyper-heuristics
- (2019) John H. Drake et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- A constrained portfolio trading system using particle swarm algorithm and recurrent reinforcement learning
- (2019) Saud Almahdi et al. EXPERT SYSTEMS WITH APPLICATIONS
- A variable neighborhood search algorithm with reinforcement learning for a real-life periodic vehicle routing problem with time windows and open routes
- (2019) Binhui Chen et al. RAIRO-OPERATIONS RESEARCH
- Surrogate-guided differential evolution algorithm for high dimensional expensive problems
- (2019) Xiwen Cai et al. Swarm and Evolutionary Computation
- Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning
- (2019) James J. Q. Yu et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Global and Local Surrogate-Model-Assisted Differential Evolution for Waterflooding Production Optimization
- (2019) Guodong Chen et al. SPE JOURNAL
- On the use of fitness landscape features in meta-learning based algorithm selection for the quadratic assignment problem
- (2019) Augusto Dantas et al. THEORETICAL COMPUTER SCIENCE
- Tackling Large-Scale and Combinatorial Bi-Level Problems With a Genetic Programming Hyper-Heuristic
- (2019) Emmanuel Kieffer et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A Multiple Surrogate Assisted Decomposition-Based Evolutionary Algorithm for Expensive Multi/Many-Objective Optimization
- (2019) Ahsanul Habib et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A Survey of Automatic Parameter Tuning Methods for Metaheuristics
- (2019) Changwu Huang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Learning Variable Neighborhood Search for a scheduling problem with time windows and rejections
- (2018) Simon Thevenin et al. DISCRETE APPLIED MATHEMATICS
- DECOR: Differential Evolution using Clustering based Objective Reduction for many-objective optimization
- (2018) Monalisa Pal et al. INFORMATION SCIENCES
- Optimization Methods for Large-Scale Machine Learning
- (2018) Léon Bottou et al. SIAM REVIEW
- A new learning-based adaptive multi-objective evolutionary algorithm
- (2018) Jianyong Sun et al. Swarm and Evolutionary Computation
- Reinforcement learning versus evolutionary computation: A survey on hybrid algorithms
- (2018) Madalina M. Drugan Swarm and Evolutionary Computation
- Learning to Decompose: A Paradigm for Decomposition-Based Multiobjective Optimization
- (2018) IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Constraint aggregation for large number of constraints in wing surrogate-based optimization
- (2018) Ke-Shi Zhang et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- Ensemble strategies for population-based optimization algorithms – A survey
- (2018) Guohua Wu et al. Swarm and Evolutionary Computation
- Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning
- (2018) Pascal Kerschke et al. EVOLUTIONARY COMPUTATION
- Efficient global optimization of constrained mixed variable problems
- (2018) Julien Pelamatti et al. JOURNAL OF GLOBAL OPTIMIZATION
- Opposition-based moth flame optimization with Cauchy mutation and evolutionary boundary constraint handling for global optimization
- (2018) Saunhita Sapre et al. SOFT COMPUTING
- Selecting meta-heuristics for solving vehicle routing problems with time windows via meta-learning
- (2018) Andres E. Gutierrez-Rodríguez et al. EXPERT SYSTEMS WITH APPLICATIONS
- Gene Expression Programming: A Survey [Review Article]
- (2017) Jinghui Zhong et al. IEEE Computational Intelligence Magazine
- Deep Reinforcement Learning: A Brief Survey
- (2017) Kai Arulkumaran et al. IEEE SIGNAL PROCESSING MAGAZINE
- Transfer Learning based Dynamic Multiobjective Optimization Algorithms
- (2017) Min JIANG et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Expected Improvement Matrix-Based Infill Criteria for Expensive Multiobjective Optimization
- (2017) Dawei Zhan et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Cooperation coevolution with fast interdependency identification for large scale optimization
- (2017) Xiao-Min Hu et al. INFORMATION SCIENCES
- Survey of Model-Based Reinforcement Learning: Applications on Robotics
- (2017) Athanasios S. Polydoros et al. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
- Scalable Gaussian process-based transfer surrogates for hyperparameter optimization
- (2017) Martin Wistuba et al. MACHINE LEARNING
- A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms
- (2017) Tinkle Chugh et al. SOFT COMPUTING
- A survey of itemset mining
- (2017) Philippe Fournier-Viger et al. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
- Learnheuristics: hybridizing metaheuristics with machine learning for optimization with dynamic inputs
- (2017) Laura Calvet et al. Open Mathematics
- Decomposition techniques with mixed integer programming and heuristics for home healthcare planning
- (2016) Wasakorn Laesanklang et al. ANNALS OF OPERATIONS RESEARCH
- Ant colony optimization with clustering for solving the dynamic location routing problem
- (2016) Shangce Gao et al. APPLIED MATHEMATICS AND COMPUTATION
- ASlib: A benchmark library for algorithm selection
- (2016) Bernd Bischl et al. ARTIFICIAL INTELLIGENCE
- Quasi-oppositional differential evolution for optimal reactive power dispatch
- (2016) M. Basu INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Quasi oppositional harmony search algorithm based controller tuning for load frequency control of multi-source multi-area power system
- (2016) G. Shankar et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Incremental cooperative coevolution for large-scale global optimization
- (2016) Sedigheh Mahdavi et al. SOFT COMPUTING
- Opposition-based learning in the shuffled bidirectional differential evolution algorithm
- (2016) Morteza Alinia Ahandani Swarm and Evolutionary Computation
- Combining metaheuristics with mathematical programming, constraint programming and machine learning
- (2015) El-Ghazali Talbi ANNALS OF OPERATIONS RESEARCH
- Automatic Design of a Hyper-Heuristic Framework With Gene Expression Programming for Combinatorial Optimization Problems
- (2015) Nasser R. Sabar et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Memetic Search With Interdomain Learning: A Realization Between CVRP and CARP
- (2015) Liang Feng et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Automatic generation control of power system using a novel quasi-oppositional harmony search algorithm
- (2015) Chandan Kumar Shiva et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Reactive Search strategies using Reinforcement Learning, local search algorithms and Variable Neighborhood Search
- (2014) João Paulo Queiroz dos Santos et al. EXPERT SYSTEMS WITH APPLICATIONS
- Balanced Cartesian Genetic Programming via migration and opposition-based learning: application to symbolic regression
- (2014) Samaneh Yazdani et al. Genetic Programming and Evolvable Machines
- MOEA/D with opposition-based learning for multiobjective optimization problem
- (2014) Xiaoliang Ma et al. NEUROCOMPUTING
- A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis
- (2014) Adil Fahad et al. IEEE Transactions on Emerging Topics in Computing
- Algorithm runtime prediction: Methods & evaluation
- (2013) Frank Hutter et al. ARTIFICIAL INTELLIGENCE
- A survey on feature selection methods
- (2013) Girish Chandrashekar et al. COMPUTERS & ELECTRICAL ENGINEERING
- Scenario grouping in a progressive hedging-based meta-heuristic for stochastic network design
- (2013) Teodor Gabriel Crainic et al. COMPUTERS & OPERATIONS RESEARCH
- Constrained optimization by radial basis function interpolation for high-dimensional expensive black-box problems with infeasible initial points
- (2013) Rommel G. Regis ENGINEERING OPTIMIZATION
- Evolutionary Programming for High-Dimensional Constrained Expensive Black-Box Optimization Using Radial Basis Functions
- (2013) Rommel G. Regis IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A clustering-based modified variable neighborhood search algorithm for a dynamic job shop scheduling problem
- (2013) Mohammad Amin Adibi et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Hyper-heuristics: a survey of the state of the art
- (2013) Edmund K Burke et al. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
- Unconventional initialization methods for differential evolution
- (2012) Musrrat Ali et al. APPLIED MATHEMATICS AND COMPUTATION
- Particle swarm optimization with chaotic opposition-based population initialization and stochastic search technique
- (2012) Wei-feng Gao et al. Communications in Nonlinear Science and Numerical Simulation
- Data mining based job dispatching using hybrid simulation-optimization approach for shop scheduling problem
- (2012) Atif Shahzad et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Synergies between operations research and data mining: The emerging use of multi-objective approaches
- (2012) David Corne et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms
- (2012) Dhish Kumar Saxena et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A Survey of Monte Carlo Tree Search Methods
- (2012) Cameron B. Browne et al. IEEE Transactions on Computational Intelligence and AI in Games
- Discovering the suitability of optimisation algorithms by learning from evolved instances
- (2011) Kate Smith-Miles et al. ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE
- Tuning metaheuristics: A data mining based approach for particle swarm optimization
- (2011) Stefan Lessmann et al. EXPERT SYSTEMS WITH APPLICATIONS
- Evolutionary Computation Meets Machine Learning: A Survey
- (2011) Jun Zhang et al. IEEE Computational Intelligence Magazine
- Enhancing particle swarm optimization using generalized opposition-based learning
- (2011) Hui Wang et al. INFORMATION SCIENCES
- A Green Vehicle Routing Problem
- (2011) Sevgi Erdoğan et al. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
- Parameter tuning for configuring and analyzing evolutionary algorithms
- (2011) A.E. Eiben et al. Swarm and Evolutionary Computation
- A Genetic Programming Hyper-Heuristic Approach for Evolving 2-D Strip Packing Heuristics
- (2010) Edmund K. Burke et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Ensemble of Constraint Handling Techniques
- (2010) R Mallipeddi et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Cross-disciplinary perspectives on meta-learning for algorithm selection
- (2009) Kate A. Smith-Miles ACM COMPUTING SURVEYS
- Solving timetabling problems using a cultural algorithm
- (2009) Carlos Soza et al. APPLIED SOFT COMPUTING
- A search space “cartography” for guiding graph coloring heuristics
- (2009) Daniel Cosmin Porumbel et al. COMPUTERS & OPERATIONS RESEARCH
- Application of Support Vector Machines to Accelerate the Solution Speed of Metaheuristic Algorithms
- (2009) Shiyou Yang et al. IEEE TRANSACTIONS ON MAGNETICS
- Empirical hardness models
- (2009) Kevin Leyton-Brown et al. JOURNAL OF THE ACM
- A review of Hopfield neural networks for solving mathematical programming problems
- (2008) Ue-Pyng Wen et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Automatic parameter tuning with a Bayesian case-based reasoning system. A case of study
- (2008) Reyes Pavón et al. EXPERT SYSTEMS WITH APPLICATIONS
- Opposition-Based Differential Evolution
- (2008) S. Rahnamayan et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A Genetic Algorithm That Adaptively Mutates and Never Revisits
- (2008) Shiu Yin Yuen et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- The memetic self-organizing map approach to the vehicle routing problem
- (2008) Jean-Charles Créput et al. SOFT COMPUTING
- A cross entropy-Lagrangean hybrid algorithm for the multi-item capacitated lot-sizing problem with setup times
- (2007) M. Caserta et al. COMPUTERS & OPERATIONS RESEARCH
- Adaptive evolutionary programming based on reinforcement learning
- (2007) H ZHANG et al. INFORMATION SCIENCES
- Ant colony optimization for continuous domains
- (2006) Krzysztof Socha et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search