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A Hyper-Heuristic Ensemble Method for Static Job-Shop Scheduling

Evolutionary Computation (2016) 24 (4): 609–635.
This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.
Graph-Based Modeling in Shop Scheduling Problems: Review and Extensions
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Automatic design of hybrid stochastic local search algorithms for permutation flowshop problems with additional constraints
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Genetic programming-based hyper-heuristic approach for solving dynamic job shop scheduling problem with extended technical precedence constraints
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Computers & Operations Research (2021) 134: 105401.
A Genetic Programming Approach for Evolving Variable Selectors in Constraint Programming
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A hyper-heuristic based ensemble genetic programming approach for stochastic resource constrained project scheduling problem
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Expert Systems with Applications (2021) 167: 114174.
Ensembles of priority rules for resource constrained project scheduling problem
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Applied Soft Computing (2021) 110: 107606.
Comparison of schedule generation schemes for designing dispatching rules with genetic programming in the unrelated machines environment
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Applied Soft Computing (2020) 96: 106637.
A decentralized Artificial Immune System for solution selection in Cyber–Physical Systems
  • Tushar Semwal
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Applied Soft Computing (2020) 86: 105920.
Combining hyper-heuristics to evolve ensembles of priority rules for on-line scheduling
  • Francisco J. Gil-Gala
  • María R. Sierra
  • Carlos Mencía
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Natural Computing (2020)
Learning ensembles of priority rules for online scheduling by hybrid evolutionary algorithms
  • Francisco J. Gil-Gala
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Integrated Computer-Aided Engineering (2020) 28 (1): 65.
TLBO with variable weights applied to shop scheduling problems
  • Leonardo Ramos Rodrigues
  • João Paulo Pordeus Gomes
CAAI Transactions on Intelligence Technology (2019) 4 (3): 148.
A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules
  • Su Nguyen
  • Yi Mei
  • Bing Xue
  • Mengjie Zhang
Evolutionary Computation (2019) 27 (3): 467.
Automatic Design of Intercell Scheduling Heuristics
  • Dongni Li
  • Rongxin Zhan
  • Shaofeng Du
  • Xuhui Wu
  • Shuai Wang
IEEE Transactions on Automation Science and Engineering (2019) 16 (4): 1907.
Evolving priority rules for on-line scheduling of jobs on a single machine with variable capacity over time
  • Francisco J. Gil-Gala
  • Carlos Mencía
  • María R. Sierra
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Applied Soft Computing (2019) 85: 105782.
An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling
  • John Park
  • Yi Mei
  • Su Nguyen
  • Gang Chen
  • Mengjie Zhang
Applied Soft Computing (2018) 63: 72.
Comparison of ensemble learning methods for creating ensembles of dispatching rules for the unrelated machines environment
  • Marko Ɖurasević
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Genetic Programming and Evolvable Machines (2018) 19 (1-2): 53.
Genetic programming for production scheduling: a survey with a unified framework
  • Su Nguyen
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Complex & Intelligent Systems (2017) 3 (1): 41.

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