Search Results - "Abualigah, Laith"
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Multi-verse optimizer algorithm: a comprehensive survey of its results, variants, and applications
Published in Neural computing & applications (01-08-2020)“…This review paper presents a comprehensive and full review of the so-called optimization algorithm, multi-verse optimizer algorithm (MOA), and reviews its main…”
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Advances in Sine Cosine Algorithm: A comprehensive survey
Published in The Artificial intelligence review (01-04-2021)“…The Sine Cosine Algorithm (SCA) is a population-based optimization algorithm introduced by Mirjalili in 2016, motivated by the trigonometric sine and cosine…”
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A comprehensive survey of the Grasshopper optimization algorithm: results, variants, and applications
Published in Neural computing & applications (01-10-2020)“…The grasshopper optimization algorithm is one of the dominant modern meta-heuristic optimization algorithms. It has been successfully applied to various…”
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Amended hybrid multi-verse optimizer with genetic algorithm for solving task scheduling problem in cloud computing
Published in The Journal of supercomputing (2022)“…The central cloud facilities based on virtual machines offer many benefits to reduce the scheduling costs and improve service availability and accessibility…”
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Marine predators algorithm for optimal allocation of active and reactive power resources in distribution networks
Published in Neural computing & applications (01-11-2021)“…The principal motivation of the marine predators algorithm (MPA) is the common foraging technique, including Lévy and Brownian motions in ocean predators…”
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Salp swarm algorithm: a comprehensive survey
Published in Neural computing & applications (01-08-2020)“…This paper completely introduces an exhaustive and a comprehensive review of the so-called salp swarm algorithm (SSA) and discussions its main characteristics…”
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Harris hawks optimization: a comprehensive review of recent variants and applications
Published in Neural computing & applications (01-08-2021)“…Harris hawks optimizer (HHO) has received widespread attention among researchers in terms of the performance, quality of results, and its acceptable…”
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Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer
Published in Expert systems with applications (01-04-2022)“…This paper proposes a novel nature-inspired meta-heuristic optimizer, called Reptile Search Algorithm (RSA), motivated by the hunting behaviour of Crocodiles…”
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Moth–flame optimization algorithm: variants and applications
Published in Neural computing & applications (01-07-2020)“…This paper thoroughly presents a comprehensive review of the so-called moth–flame optimization (MFO) and analyzes its main characteristics. MFO is considered…”
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Ebola Optimization Search Algorithm: A New Nature-Inspired Metaheuristic Optimization Algorithm
Published in IEEE access (2022)“…Nature computing has evolved with exciting performance to solve complex real-world combinatorial optimization problems. These problems span across engineering,…”
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Ant Lion Optimizer: A Comprehensive Survey of Its Variants and Applications
Published in Archives of computational methods in engineering (01-05-2021)“…This paper introduces a comprehensive overview of the Ant Lion Optimizer (ALO). ALO is a novel metaheuristic swarm-based approach introduced by Mirjalili in…”
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A Comprehensive Survey of the Harmony Search Algorithm in Clustering Applications
Published in Applied sciences (01-06-2020)“…The Harmony Search Algorithm (HSA) is a swarm intelligence optimization algorithm which has been successfully applied to a broad range of clustering…”
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An enhanced Grey Wolf Optimizer based Particle Swarm Optimizer for intrusion detection system in wireless sensor networks
Published in Wireless networks (01-02-2022)“…The intrusion detection system is a method for detection against attacks, making it one of the essential defense layers. Researchers are trying to find new…”
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A novel bat algorithm with dynamic membrane structure for optimization problems
Published in Applied intelligence (Dordrecht, Netherlands) (01-04-2021)“…To improve the optimization efficiency for different optimization problems and take advantage of the dynamic membrane computing framework, this paper proposes…”
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Deep Federated Machine Learning-Based Optimization Methods for Liver Tumor Diagnosis: A Review
Published in Archives of computational methods in engineering (01-06-2023)“…Computer-aided liver diagnosis helps doctors accurately identify liver abnormalities and reduce the risk of liver surgery. Early diagnosis and detection of…”
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Meta-heuristic optimization algorithms for solving real-world mechanical engineering design problems: a comprehensive survey, applications, comparative analysis, and results
Published in Neural computing & applications (01-03-2022)“…Real-world engineering design problems are widespread in various research disciplines in both industry and industry. Many optimization algorithms have been…”
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Selection scheme sensitivity for a hybrid Salp Swarm Algorithm: analysis and applications
Published in Engineering with computers (01-04-2022)“…This paper proposes a hybrid version of the Salp Swarm Algorithm (SSA) and the hill climbing (HC) technique using various selection schemes to solve…”
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Chaotic quasi-oppositional arithmetic optimization algorithm for thermo-economic design of a shell and tube condenser running with different refrigerant mixture pairs
Published in Neural computing & applications (01-05-2022)“…This theoretical research study proposes a novel Chaotic Quasi-Oppositional Arithmetic Optimization Algorithm (COAOA) for thermo-economic optimization of a…”
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Advanced Metaheuristic Techniques for Mechanical Design Problems: Review
Published in Archives of computational methods in engineering (2022)“…The design of complex mechanical components is a time-consuming process which involves many design variables with multiple interacted objectives and…”
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A generative adversarial network for synthetization of regions of interest based on digital mammograms
Published in Scientific reports (13-04-2022)“…Deep learning (DL) models are becoming pervasive and applicable to computer vision, image processing, and synthesis problems. The performance of these models…”
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