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Hyper-heuristics for personnel scheduling domains

Artificial intelligence, 2024-09, Vol.334, p.104172, Article 104172

2024

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A study of ant-based pheromone spaces for generation constructive hyper-heuristics

Swarm and evolutionary computation, 2022-07, Vol.72, p.101095, Article 101095

2022

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Bio-inspired computation: Where we stand and what's next

Swarm and evolutionary computation, 2019-08, Vol.48, p.220-250

2019

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A review of reinforcement learning based hyper-heuristics

PeerJ. Computer science, 2024-06, Vol.10, p.e2141, Article e2141

2024

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Hyper-heuristics: A survey and taxonomy

Computers & industrial engineering, 2024-01, Vol.187, p.109815, Article 109815

2024

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A particle swarm optimization based hyper-heuristic algorithm for the classic resource constrained project scheduling problem

Information sciences, 2014-09, Vol.277, p.680-693

2014

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On the use of genetic programming to evolve priority rules for resource constrained project scheduling problems

Information sciences, 2018-03, Vol.432, p.146-163

2018

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Hyper-heuristics: a survey of the state of the art

The Journal of the Operational Research Society, 2013-12, Vol.64 (12), p.1695-1724

2013

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An experimental study of hyper-heuristic selection and acceptance mechanism for combinatorial t-way test suite generation

Information sciences, 2017-08, Vol.399, p.121-153

2017

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Enhancing generalization in genetic programming hyper-heuristics through mini-batch sampling strategies for dynamic workflow scheduling

Information sciences, 2024-09, Vol.678, p.120975, Article 120975

2024

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Major Advances in Particle Swarm Optimization: Theory, Analysis, and Application

Swarm and evolutionary computation, 2021-06, Vol.63, p.100868, Article 100868

2021

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A generality analysis of multiobjective hyper-heuristics

Information sciences, 2023-05, Vol.627, p.34-51

2023

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Evolving priority rules for resource constrained project scheduling problem with genetic programming

Future generation computer systems, 2018-09, Vol.86, p.211-221

2018

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Ensembles of priority rules for resource constrained project scheduling problem

Applied soft computing, 2021-10, Vol.110, p.107606, Article 107606

2021

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A synergy Thompson sampling hyper‐heuristic for the feature selection problem

Computational intelligence, 2022-06, Vol.38 (3), p.1083-1105

2022

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A deep reinforcement learning based hyper-heuristic for combinatorial optimisation with uncertainties

European journal of operational research, 2022-07, Vol.300 (2), p.418-427

2022

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What Works Best When? A Systematic Evaluation of Heuristics for Max-Cut and QUBO

INFORMS journal on computing, 2018-08, Vol.30 (3), p.608-624

2018

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A Unified Framework of Graph-Based Evolutionary Multitasking Hyper-Heuristic

IEEE transactions on evolutionary computation, 2021-02, Vol.25 (1), p.35-47

2021

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HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain

Information sciences, 2019-03, Vol.477, p.186-202

2019

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Training feedforward neural networks with Bayesian hyper-heuristics

Information sciences, 2025-01, Vol.686, Article 121363

2025

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An Analysis of Effective Per-instance Tailored GAs for the Permutation Flowshop Scheduling Problem

Procedia computer science, 2023, Vol.225, p.3958-3966

2023

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Simple Hyper-Heuristics Control the Neighbourhood Size of Randomised Local Search Optimally for LeadingOnes

Evolutionary computation, 2020-09, Vol.28 (3), p.437-461

2020

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A review of heuristics and metaheuristics for community detection in complex networks: Current usage, emerging development and future directions

Swarm and evolutionary computation, 2021-06, Vol.63, p.100885, Article 100885

2021

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Ensemble strategies for population-based optimization algorithms – A survey

Swarm and evolutionary computation, 2019-02, Vol.44, p.695-711

2019

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Surrogate model for memetic genetic programming with application to the one machine scheduling problem with time-varying capacity

Expert systems with applications, 2023-12, Vol.233, p.120916, Article 120916

2023

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Hyper-heuristics for personnel scheduling domains

A study of ant-based pheromone spaces for generation constructive hyper-heuristics

Bio-inspired computation: Where we stand and what's next

A review of reinforcement learning based hyper-heuristics

Hyper-heuristics: A survey and taxonomy

A particle swarm optimization based hyper-heuristic algorithm for the classic resource constrained project scheduling problem

On the use of genetic programming to evolve priority rules for resource constrained project scheduling problems

Hyper-heuristics: a survey of the state of the art

An experimental study of hyper-heuristic selection and acceptance mechanism for combinatorial t-way test suite generation

Enhancing generalization in genetic programming hyper-heuristics through mini-batch sampling strategies for dynamic workflow scheduling

Major Advances in Particle Swarm Optimization: Theory, Analysis, and Application

A generality analysis of multiobjective hyper-heuristics

Evolving priority rules for resource constrained project scheduling problem with genetic programming

Ensembles of priority rules for resource constrained project scheduling problem

A synergy Thompson sampling hyper‐heuristic for the feature selection problem

A deep reinforcement learning based hyper-heuristic for combinatorial optimisation with uncertainties

What Works Best When? A Systematic Evaluation of Heuristics for Max-Cut and QUBO

A Unified Framework of Graph-Based Evolutionary Multitasking Hyper-Heuristic

HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain

Training feedforward neural networks with Bayesian hyper-heuristics

An Analysis of Effective Per-instance Tailored GAs for the Permutation Flowshop Scheduling Problem

Simple Hyper-Heuristics Control the Neighbourhood Size of Randomised Local Search Optimally for LeadingOnes

A review of heuristics and metaheuristics for community detection in complex networks: Current usage, emerging development and future directions

Ensemble strategies for population-based optimization algorithms – A survey

Surrogate model for memetic genetic programming with application to the one machine scheduling problem with time-varying capacity

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