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A genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem

Expert systems with applications, 2020-02, Vol.140, p.112915, Article 112915

2020

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A review of energy-efficient scheduling in intelligent production systems

Complex & intelligent systems, 2020-07, Vol.6 (2), p.237-249

2020

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A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems

IEEE/CAA journal of automatica sinica, 2019-07, Vol.6 (4), p.904-916

2019

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An evacuation simulation method based on an improved artificial bee colony algorithm and a social force model

Applied intelligence (Dordrecht, Netherlands), 2021, Vol.51 (1), p.100-123

2021

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Using Reinforcement Learning to Minimize the Probability of Delay Occurrence in Transportation

IEEE transactions on vehicular technology, 2020-03, Vol.69 (3), p.2424-2436

2020

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Personalized Route Planning System Based on Driver Preference

Sensors (Basel, Switzerland), 2021-12, Vol.22 (1), p.11

2021

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Improved Multi-Agent Reinforcement Learning for Path Planning-Based Crowd Simulation

IEEE access, 2019, Vol.7, p.73841-73855

2019

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Solving multi-area environmental economic dispatch by Pareto-based chemical-reaction optimization algorithm

IEEE/CAA journal of automatica sinica, 2019-09, Vol.6 (5), p.1240-1250

2019

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Solving Heterogeneous USV Scheduling Problems by Problem-Specific Knowledge Based Meta-Heuristics with Q-Learning

Mathematics (Basel), 2024-01, Vol.12 (2), p.339

2024

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Ensemble evolutionary algorithms equipped with Q‐learning strategy for solving distributed heterogeneous permutation flowshop scheduling problems considering sequence‐dependent setup time

IET collaborative intelligent manufacturing, 2024-03, Vol.6 (1), p.n/a

2024

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Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction

IEEE/CAA journal of automatica sinica, 2022-08, Vol.9 (8), p.1427-1439

2022

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IEEE_Xplore

Solving robotic distributed flowshop problem using an improved iterated greedy algorithm

International journal of advanced robotic systems, 2019-09, Vol.16 (5), p.172988141987981

2019

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An embedded vertical‐federated feature selection algorithm based on particle swarm optimisation

CAAI Transactions on Intelligence Technology, 2023-09, Vol.8 (3), p.734-754

2023

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Urban Traffic Light Control Considering Capacity Difference Between Public Bus and Private Vehicles

IEEE access, 2021, Vol.9, p.142664-142680

2021

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A Distributed Blocking Flowshop Scheduling with Setup Times Using Multi-Factory Collaboration Iterated Greedy Algorithm

Mathematics (Basel), 2023-01, Vol.11 (3), p.581

2023

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Improved Jaya Algorithm for Flexible Job Shop Rescheduling Problem

IEEE access, 2020, Vol.8, p.86915-86922

2020

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A Multi-Species Artificial Bee Colony Algorithm and Its Application for Crowd Simulation

IEEE access, 2019, Vol.7, p.2549-2558

2019

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Decomposition methods for manufacturing system scheduling: a survey

IEEE/CAA journal of automatica sinica, 2018-03, Vol.5 (2), p.389-400

2018

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Energy-Efficient Hybrid Flowshop Scheduling with Consistent Sublots Using an Improved Cooperative Coevolutionary Algorithm

Mathematics (Basel), 2023-01, Vol.11 (1), p.77

2023

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Improved Q‐learning algorithm for solving permutation flow shop scheduling problems

IET collaborative intelligent manufacturing, 2022-03, Vol.4 (1), p.35-44

2022

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Improved Migrating Birds Optimization Algorithm to Solve Hybrid Flowshop Scheduling Problem With Lot-Streaming

IEEE access, 2020, Vol.8, p.89782-89792

2020

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Heuristics and metaheuristics to minimize makespan for flowshop with peak power consumption constraints

International journal of industrial engineering computations, 2023-01, Vol.14 (2), p.221-238

2023

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A Variable Block Insertion Heuristic for the Blocking Flowshop Scheduling Problem with Total Flowtime Criterion

Algorithms, 2016-12, Vol.9 (4), p.71-71

2016

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Mathematical Formulations for Asynchronous Parallel Disassembly Planning of End-of-Life Products

Mathematics (Basel), 2022-10, Vol.10 (20), p.3854

2022

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A Review on Swarm Intelligence and Evolutionary Algorithms for Solving the Traffic Signal Control Problem

IEEE transactions on intelligent transportation systems, 2022-01, Vol.23 (1), p.48-63

2022

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IEEE_Xplore

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A genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem

A review of energy-efficient scheduling in intelligent production systems

A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems

An evacuation simulation method based on an improved artificial bee colony algorithm and a social force model

Using Reinforcement Learning to Minimize the Probability of Delay Occurrence in Transportation

Personalized Route Planning System Based on Driver Preference

Improved Multi-Agent Reinforcement Learning for Path Planning-Based Crowd Simulation

Solving multi-area environmental economic dispatch by Pareto-based chemical-reaction optimization algorithm

Solving Heterogeneous USV Scheduling Problems by Problem-Specific Knowledge Based Meta-Heuristics with Q-Learning

Ensemble evolutionary algorithms equipped with Q‐learning strategy for solving distributed heterogeneous permutation flowshop scheduling problems considering sequence‐dependent setup time

Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction

Solving robotic distributed flowshop problem using an improved iterated greedy algorithm

An embedded vertical‐federated feature selection algorithm based on particle swarm optimisation

Urban Traffic Light Control Considering Capacity Difference Between Public Bus and Private Vehicles

A Distributed Blocking Flowshop Scheduling with Setup Times Using Multi-Factory Collaboration Iterated Greedy Algorithm

Improved Jaya Algorithm for Flexible Job Shop Rescheduling Problem

A Multi-Species Artificial Bee Colony Algorithm and Its Application for Crowd Simulation

Decomposition methods for manufacturing system scheduling: a survey

Energy-Efficient Hybrid Flowshop Scheduling with Consistent Sublots Using an Improved Cooperative Coevolutionary Algorithm

Improved Q‐learning algorithm for solving permutation flow shop scheduling problems

Improved Migrating Birds Optimization Algorithm to Solve Hybrid Flowshop Scheduling Problem With Lot-Streaming

Heuristics and metaheuristics to minimize makespan for flowshop with peak power consumption constraints

A Variable Block Insertion Heuristic for the Blocking Flowshop Scheduling Problem with Total Flowtime Criterion

Mathematical Formulations for Asynchronous Parallel Disassembly Planning of End-of-Life Products

A Review on Swarm Intelligence and Evolutionary Algorithms for Solving the Traffic Signal Control Problem

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