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Moth search algorithm: a bio-inspired metaheuristic algorithm for global optimization problems

Memetic computing, 2018-06, Vol.10 (2), p.151-164

Wang, Gai-Ge

2018

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Monarch butterfly optimization

Neural computing & applications, 2019-07, Vol.31 (7), p.1995-2014

2019

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Solving Multiobjective Fuzzy Job-Shop Scheduling Problem by a Hybrid Adaptive Differential Evolution Algorithm

IEEE transactions on industrial informatics, 2022-12, Vol.18 (12), p.8519-8528

2022

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Detection of Malicious Code Variants Based on Deep Learning

IEEE transactions on industrial informatics, 2018-07, Vol.14 (7), p.3187-3196

2018

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A Survey of Learning-Based Intelligent Optimization Algorithms

Archives of computational methods in engineering, 2021-08, Vol.28 (5), p.3781-3799

2021

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Monarch butterfly optimization: A comprehensive review

Expert systems with applications, 2021-04, Vol.168, p.114418, Article 114418

2021

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High Performance Computing for Cyber Physical Social Systems by Using Evolutionary Multi-Objective Optimization Algorithm

IEEE transactions on emerging topics in computing, 2020-01, Vol.8 (1), p.20-30

2020

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A comprehensive review of krill herd algorithm: variants, hybrids and applications

The Artificial intelligence review, 2019-01, Vol.51 (1), p.119-148

2019

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Three-dimensional path planning for UCAV using an improved bat algorithm

Aerospace science and technology, 2016-02, Vol.49, p.231-238

2016

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Elephant Herding Optimization: Variants, Hybrids, and Applications

Mathematics (Basel), 2020-09, Vol.8 (9), p.1415

2020

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Multi-strategy monarch butterfly optimization algorithm for discounted {0-1} knapsack problem

Neural computing & applications, 2018-11, Vol.30 (10), p.3019-3036

2018

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Improving Test Data Generation for MPI Program Path Coverage with FERPSO-IMPR and Surrogate-Assisted Models

IEEE transactions on software engineering, 2024-03, Vol.50 (3), p.1-17

2024

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Solving Fuzzy Job-Shop Scheduling Problem Using DE Algorithm Improved by a Selection Mechanism

IEEE transactions on fuzzy systems, 2020-12, Vol.28 (12), p.3265-3275

2020

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A dual-population multi-objective evolutionary algorithm driven by generative adversarial networks for benchmarking and protein-peptide docking

Computers in biology and medicine, 2024-01, Vol.168, p.107727-107727, Article 107727

2024

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Binary Moth Search Algorithm for Discounted Knapsack Problem

IEEE access, 2018, Vol.6, p.10708-10719

2018

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Solving 0–1 knapsack problem by a novel binary monarch butterfly optimization

Neural computing & applications, 2017-07, Vol.28 (7), p.1619-1634

2017

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A new monarch butterfly optimization with an improved crossover operator

Operational research, 2018-10, Vol.18 (3), p.731-755

2018

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Transfer Learning Based on Clustering Difference for Dynamic Multi-Objective Optimization

Applied sciences, 2023-04, Vol.13 (8), p.4795

2023

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AMSUnet: A neural network using atrous multi-scale convolution for medical image segmentation

Computers in biology and medicine, 2023-08, Vol.162, p.107120-107120, Article 107120

2023

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Krill herd algorithm based on cuckoo search for solving engineering optimization problems

Multimedia tools and applications, 2019-02, Vol.78 (4), p.3861-3884

2019

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Improved probabilistic neural networks with self-adaptive strategies for transformer fault diagnosis problem

Advances in mechanical engineering, 2016-01, Vol.8 (1), p.168781401562483

2016

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Medical image identification methods: A review

Computers in biology and medicine, 2024-02, Vol.169, p.107777-107777, Article 107777

2024

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An Effective Hybrid Firefly Algorithm with Harmony Search for Global Numerical Optimization

TheScientificWorld, 2013-01, Vol.2013, p.125625-9

2013

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Sorting-Based Discrete Artificial Bee Colony Algorithm for Solving Fuzzy Hybrid Flow Shop Green Scheduling Problem

Mathematics (Basel), 2021-09, Vol.9 (18), p.2250

2021

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EPuL: An Enhanced Positive-Unlabeled Learning Algorithm for the Prediction of Pupylation Sites

Molecules (Basel, Switzerland), 2017-09, Vol.22 (9), p.1463

2017

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Moth search algorithm: a bio-inspired metaheuristic algorithm for global optimization problems

Monarch butterfly optimization

Solving Multiobjective Fuzzy Job-Shop Scheduling Problem by a Hybrid Adaptive Differential Evolution Algorithm

Detection of Malicious Code Variants Based on Deep Learning

A Survey of Learning-Based Intelligent Optimization Algorithms

Monarch butterfly optimization: A comprehensive review

High Performance Computing for Cyber Physical Social Systems by Using Evolutionary Multi-Objective Optimization Algorithm

A comprehensive review of krill herd algorithm: variants, hybrids and applications

Three-dimensional path planning for UCAV using an improved bat algorithm

Elephant Herding Optimization: Variants, Hybrids, and Applications

Multi-strategy monarch butterfly optimization algorithm for discounted {0-1} knapsack problem

Improving Test Data Generation for MPI Program Path Coverage with FERPSO-IMPR and Surrogate-Assisted Models

Solving Fuzzy Job-Shop Scheduling Problem Using DE Algorithm Improved by a Selection Mechanism

A dual-population multi-objective evolutionary algorithm driven by generative adversarial networks for benchmarking and protein-peptide docking

Binary Moth Search Algorithm for Discounted Knapsack Problem

Solving 0–1 knapsack problem by a novel binary monarch butterfly optimization

A new monarch butterfly optimization with an improved crossover operator

Transfer Learning Based on Clustering Difference for Dynamic Multi-Objective Optimization

AMSUnet: A neural network using atrous multi-scale convolution for medical image segmentation

Krill herd algorithm based on cuckoo search for solving engineering optimization problems

Improved probabilistic neural networks with self-adaptive strategies for transformer fault diagnosis problem

Medical image identification methods: A review

An Effective Hybrid Firefly Algorithm with Harmony Search for Global Numerical Optimization

Sorting-Based Discrete Artificial Bee Colony Algorithm for Solving Fuzzy Hybrid Flow Shop Green Scheduling Problem

EPuL: An Enhanced Positive-Unlabeled Learning Algorithm for the Prediction of Pupylation Sites

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