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Solving randomized time-varying knapsack problems by a novel global firefly algorithm

Engineering with computers, 2018-07, Vol.34 (3), p.621-635

2018

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A novel improved accelerated particle swarm optimization algorithm for global numerical optimization

Engineering computations, 2014-09, Vol.31 (7), p.1198-1220

2014

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Combining Key-Points-Based Transfer Learning and Hybrid Prediction Strategies for Dynamic Multi-Objective Optimization

Mathematics (Basel), 2022-06, Vol.10 (12), p.2117

2022

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A review of green shop scheduling problem

Information sciences, 2022-04, Vol.589, p.478-496

2022

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Hybrid multi-group stochastic cooperative particle swarm optimization algorithm and its application to the photovoltaic parameter identification problem

Energy reports, 2023-12, Vol.9, p.4654-4681

2023

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An Artificial Bee Colony Algorithm Based on Dynamic Penalty and Lévy Flight for Constrained Optimization Problems

Arabian journal for science and engineering (2011), 2018-12, Vol.43 (12), p.7189-7208

2018

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Improved NSGA-III using transfer learning and centroid distance for dynamic multi-objective optimization

Complex & intelligent systems, 2023-04, Vol.9 (2), p.1143-1164

2023

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Hybrid Annealing Krill Herd and Quantum-Behaved Particle Swarm Optimization

Mathematics (Basel), 2020-09, Vol.8 (9), p.1403

2020

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Survey of Lévy Flight-Based Metaheuristics for Optimization

Mathematics (Basel), 2022-08, Vol.10 (15), p.2785

2022

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Improving NSGA-III algorithms with information feedback models for large-scale many-objective optimization

Future generation computer systems, 2020-06, Vol.107, p.49-69

2020

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A novel fruit fly framework for multi-objective shape design of tubular linear synchronous motor

The Journal of supercomputing, 2017-03, Vol.73 (3), p.1235-1256

2017

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A Novel Monarch Butterfly Optimization with Global Position Updating Operator for Large-Scale 0-1 Knapsack Problems

Mathematics (Basel), 2019-11, Vol.7 (11), p.1056

2019

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Solving Logistics Distribution Center Location with Improved Cuckoo Search Algorithm

International journal of computational intelligence systems, 2021-01, Vol.14 (1), p.676

2021

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A binary moth search algorithm based on self-learning for multidimensional knapsack problems

Future generation computer systems, 2022-01, Vol.126, p.48-64

2022

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Enhanced Moth Search Algorithm for the Set-Union Knapsack Problems

IEEE access, 2019, Vol.7, p.173774-173785

2019

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Chaotic Krill Herd algorithm

Information sciences, 2014-08, Vol.274, p.17-34

2014

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Enhancing MOEA/D with information feedback models for large-scale many-objective optimization

Information sciences, 2020-06, Vol.522, p.1-16

2020

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A chaotic particle-swarm krill herd algorithm for global numerical optimization

Kybernetes, 2013-01, Vol.42 (6), p.962-978

2013

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Solving IIR system identification by a variant of particle swarm optimization

Neural computing & applications, 2018-08, Vol.30 (3), p.685-698

2018

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Learning-based elephant herding optimization algorithm for solving numerical optimization problems

Knowledge-based systems, 2020-05, Vol.195, p.105675, Article 105675

2020

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Elephant herding optimization using dynamic topology and biogeography-based optimization based on learning for numerical optimization

Engineering with computers, 2022-06, Vol.38 (Suppl 2), p.1585-1613

2022

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Forecasting ENSO using convolutional LSTM network with improved attention mechanism and models recombined by genetic algorithm in CMIP5/6

Information sciences, 2023-09, Vol.642, p.119106, Article 119106

2023

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Hierarchical learning particle swarm optimization using fuzzy logic

Expert systems with applications, 2023-12, Vol.232, p.120759, Article 120759

2023

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An improved NSGA-III algorithm with adaptive mutation operator for Big Data optimization problems

Future generation computer systems, 2018-11, Vol.88, p.571-585

2018

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Hybrid bio-inspired user clustering for the generation of diversified recommendations

Neural computing & applications, 2020-04, Vol.32 (7), p.2487-2506

2020

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Solving randomized time-varying knapsack problems by a novel global firefly algorithm

A novel improved accelerated particle swarm optimization algorithm for global numerical optimization

Combining Key-Points-Based Transfer Learning and Hybrid Prediction Strategies for Dynamic Multi-Objective Optimization

A review of green shop scheduling problem

Hybrid multi-group stochastic cooperative particle swarm optimization algorithm and its application to the photovoltaic parameter identification problem

An Artificial Bee Colony Algorithm Based on Dynamic Penalty and Lévy Flight for Constrained Optimization Problems

Improved NSGA-III using transfer learning and centroid distance for dynamic multi-objective optimization

Hybrid Annealing Krill Herd and Quantum-Behaved Particle Swarm Optimization

Survey of Lévy Flight-Based Metaheuristics for Optimization

Improving NSGA-III algorithms with information feedback models for large-scale many-objective optimization

A novel fruit fly framework for multi-objective shape design of tubular linear synchronous motor

A Novel Monarch Butterfly Optimization with Global Position Updating Operator for Large-Scale 0-1 Knapsack Problems

Solving Logistics Distribution Center Location with Improved Cuckoo Search Algorithm

A binary moth search algorithm based on self-learning for multidimensional knapsack problems

Enhanced Moth Search Algorithm for the Set-Union Knapsack Problems

Chaotic Krill Herd algorithm

Enhancing MOEA/D with information feedback models for large-scale many-objective optimization

A chaotic particle-swarm krill herd algorithm for global numerical optimization

Solving IIR system identification by a variant of particle swarm optimization

Learning-based elephant herding optimization algorithm for solving numerical optimization problems

Elephant herding optimization using dynamic topology and biogeography-based optimization based on learning for numerical optimization

Forecasting ENSO using convolutional LSTM network with improved attention mechanism and models recombined by genetic algorithm in CMIP5/6

Hierarchical learning particle swarm optimization using fuzzy logic

An improved NSGA-III algorithm with adaptive mutation operator for Big Data optimization problems

Hybrid bio-inspired user clustering for the generation of diversified recommendations

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