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Energy Optimized Task Mapping for Reliable and Real-Time Networked Systems

ACM transactions on sensor networks, 2023-11, Vol.19 (4), p.1-26

2023

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Learning to Optimize: Training Deep Neural Networks for Interference Management

IEEE transactions on signal processing, 2018-10, Vol.66 (20), p.5438-5453

2018

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Transfer Learning-Based Dynamic Multiobjective Optimization Algorithms

IEEE transactions on evolutionary computation, 2018-08, Vol.22 (4), p.501-514

2018

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A Multi-Facet Survey on Memetic Computation

IEEE transactions on evolutionary computation, 2011-10, Vol.15 (5), p.591-607

2011

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Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction

IEEE transaction on neural networks and learning systems, 2019-02, Vol.30 (2), p.601-614

2019

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Fitness Dependent Optimizer: Inspired by the Bee Swarming Reproductive Process

IEEE access, 2019, Vol.7, p.43473-43486

2019

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The Arithmetic Optimization Algorithm

Computer methods in applied mechanics and engineering, 2021-04, Vol.376, p.113609, Article 113609

2021

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Scalable Nearest Neighbor Algorithms for High Dimensional Data

IEEE transactions on pattern analysis and machine intelligence, 2014-11, Vol.36 (11), p.2227-2240

2014

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A metaheuristic optimization approach for energy efficiency in the IoT networks

Software, practice & experience, 2021-12, Vol.51 (12), p.2558-2571

2021

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Analysis of Orthogonal Matching Pursuit Using the Restricted Isometry Property

IEEE transactions on information theory, 2010-09, Vol.56 (9), p.4395-4401

2010

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A Unified Evolutionary Optimization Procedure for Single, Multiple, and Many Objectives

IEEE transactions on evolutionary computation, 2016-06, Vol.20 (3), p.358-369

2016

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Automated Test Case Generation as a Many-Objective Optimisation Problem with Dynamic Selection of the Targets

IEEE transactions on software engineering, 2018-02, Vol.44 (2), p.122-158

2018

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Particle Swarm Optimization: A Comprehensive Survey

IEEE access, 2022, Vol.10, p.10031-10061

2022

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Comparison of metaheuristic optimization algorithms for solving constrained mechanical design optimization problems

Expert systems with applications, 2021-11, Vol.183, p.115351, Article 115351

2021

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A Hybrid Optimization Technique Using Exchange Market and Genetic Algorithms

IEEE access, 2020, Vol.8, p.2417-2427

2020

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Differential Evolution: A Survey of the State-of-the-Art

IEEE transactions on evolutionary computation, 2011-02, Vol.15 (1), p.4-31

2011

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Crow Search Algorithm: Theory, Recent Advances, and Applications

IEEE access, 2020, Vol.8, p.173548-173565

2020

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A New Hybrid Algorithm Based on Grey Wolf Optimization and Crow Search Algorithm for Unconstrained Function Optimization and Feature Selection

IEEE access, 2019, Vol.7, p.26343-26361

2019

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A Comparative Study of Common Nature-Inspired Algorithms for Continuous Function Optimization

Entropy (Basel, Switzerland), 2021-07, Vol.23 (7), p.874

2021

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Wind turbine power output prediction using a new hybrid neuro-evolutionary method

Energy (Oxford), 2021-08, Vol.229, p.120617, Article 120617

2021

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Path Planning for Autonomous Underwater Vehicles Under the Influence of Ocean Currents Based on a Fusion Heuristic Algorithm

IEEE transactions on vehicular technology, 2021-09, Vol.70 (9), p.8529-8544

2021

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MOSMA: Multi-Objective Slime Mould Algorithm Based on Elitist Non-Dominated Sorting

IEEE access, 2021-01, Vol.9, p.3229-3248

2021

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An Adaptive CU Size Decision Algorithm for HEVC Intra Prediction Based on Complexity Classification Using Machine Learning

IEEE transactions on circuits and systems for video technology, 2019-01, Vol.29 (1), p.144-155

2019

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Dynamic Service Placement for Mobile Micro-Clouds with Predicted Future Costs

IEEE transactions on parallel and distributed systems, 2017-04, Vol.28 (4), p.1002-1016

2017

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Dual-Objective Mixed Integer Linear Program and Memetic Algorithm for an Industrial Group Scheduling Problem

IEEE/CAA journal of automatica sinica, 2021-06, Vol.8 (6), p.1199-1209

2021

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Energy Optimized Task Mapping for Reliable and Real-Time Networked Systems

Learning to Optimize: Training Deep Neural Networks for Interference Management

Transfer Learning-Based Dynamic Multiobjective Optimization Algorithms

A Multi-Facet Survey on Memetic Computation

Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction

Fitness Dependent Optimizer: Inspired by the Bee Swarming Reproductive Process

The Arithmetic Optimization Algorithm

Scalable Nearest Neighbor Algorithms for High Dimensional Data

A metaheuristic optimization approach for energy efficiency in the IoT networks

Analysis of Orthogonal Matching Pursuit Using the Restricted Isometry Property

A Unified Evolutionary Optimization Procedure for Single, Multiple, and Many Objectives

Automated Test Case Generation as a Many-Objective Optimisation Problem with Dynamic Selection of the Targets

Particle Swarm Optimization: A Comprehensive Survey

Comparison of metaheuristic optimization algorithms for solving constrained mechanical design optimization problems

A Hybrid Optimization Technique Using Exchange Market and Genetic Algorithms

Differential Evolution: A Survey of the State-of-the-Art

Crow Search Algorithm: Theory, Recent Advances, and Applications

A New Hybrid Algorithm Based on Grey Wolf Optimization and Crow Search Algorithm for Unconstrained Function Optimization and Feature Selection

A Comparative Study of Common Nature-Inspired Algorithms for Continuous Function Optimization

Wind turbine power output prediction using a new hybrid neuro-evolutionary method

Path Planning for Autonomous Underwater Vehicles Under the Influence of Ocean Currents Based on a Fusion Heuristic Algorithm

MOSMA: Multi-Objective Slime Mould Algorithm Based on Elitist Non-Dominated Sorting

An Adaptive CU Size Decision Algorithm for HEVC Intra Prediction Based on Complexity Classification Using Machine Learning

Dynamic Service Placement for Mobile Micro-Clouds with Predicted Future Costs

Dual-Objective Mixed Integer Linear Program and Memetic Algorithm for an Industrial Group Scheduling Problem

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