Accurate Identification of Tomograms of Lung Nodules Using CNN: Influence of the Optimizer, Preprocessing and Segmentation
Sign Up to like & getrecommendations! Published in 2020 at "Pattern Recognition"
DOI: 10.1007/978-3-030-49076-8_23
Abstract: The diagnosis of pulmonary nodules plays an important role in the treatment of lung cancer, thus improving the diagnosis is the primary concern. This article shows a comparison of the results in the identification of… read more here.
Keywords: training accuracy; preprocessing segmentation; segmentation; accuracy test ... See more keywords
Boosted binary Harris hawks optimizer and feature selection
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DOI: 10.1007/s00366-020-01028-5
Abstract: Feature selection is a required preprocess stage in most of the data mining tasks. This paper presents an improved Harris hawks optimization (HHO) to find high-quality solutions for global optimization and feature selection tasks. This… read more here.
Keywords: feature selection; ihho; selection; hho ... See more keywords
PPO: a new nature-inspired metaheuristic algorithm based on predation for optimization
Sign Up to like & getrecommendations! Published in 2022 at "Soft Computing"
DOI: 10.1007/s00500-021-06404-x
Abstract: Researchers from different domains have developed several metaheuristic algorithms that are inspired by the biological phenomenon. In this work, we propose a novel algorithm that is inspired by the prey–predator interaction of animals. In the… read more here.
Keywords: proposed algorithm; optimizer; predator; optimization ... See more keywords
Single and multi-objective operation management of micro-grid using krill herd optimization and ant lion optimizer algorithms
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Energy and Environmental Engineering"
DOI: 10.1007/s40095-018-0266-8
Abstract: In this paper, two recent heuristic optimization algorithms are presented to optimally manage the operation of the micro-grid (MG) with installed renewable energy sources (RESs); krill herd (KH) optimization and ant lion optimizer (ALO) algorithms.… read more here.
Keywords: herd optimization; optimizer; optimization; operation ... See more keywords
A hybrid metaheuristic algorithm for identification of continuous-time Hammerstein systems
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DOI: 10.1016/j.apm.2021.01.023
Abstract: Abstract This paper presents a new hybrid identification algorithm called the Average Multi-Verse Optimizer and Sine Cosine Algorithm for identifying the continuous-time Hammerstein system. In this paper, two modifications were employed on the conventional Multi-Verse… read more here.
Keywords: system; time; multi verse; continuous time ... See more keywords
A novel hybrid GWO-SCA approach for optimization problems
Sign Up to like & getrecommendations! Published in 2017 at "Engineering Science and Technology, an International Journal"
DOI: 10.1016/j.jestch.2017.11.001
Abstract: Abstract Recent trend of research is to hybridize two and several number of variants to find out better quality of solution of practical and recent real applications in the field of global optimization problems. In… read more here.
Keywords: gwo; sca; optimizer; optimization ... See more keywords
Optimization of production schedules of multi-plants for dispatching ready-mix concrete trucks by integrating grey wolf optimizer and dragonfly algorithm
Sign Up to like & getrecommendations! Published in 2023 at "Engineering, Construction and Architectural Management"
DOI: 10.1108/ecam-12-2022-1176
Abstract: PurposeThe paper aims to provide an efficient dispatching schedule for ready-mix concrete (RMC) trucks and create a balance between batch plants and construction sites.Design/methodology/approachThe paper focused on developing a new metaheuristic swarm intelligence algorithm using… read more here.
Keywords: optimizer; mix concrete; ready mix; grey wolf ... See more keywords
A Parallel Multi-Verse Optimizer for Application in Multilevel Image Segmentation
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DOI: 10.1109/access.2020.2973411
Abstract: Multi-version optimizer (MVO) inspired by the multi-verse theory is a new optimization algorithm for challenging multiple parameter optimization problems in the real world. In this paper, a novel parallel multi-verse optimizer (PMVO) with the communication… read more here.
Keywords: optimization; multi verse; image segmentation; optimizer ... See more keywords
Improved Binary Sailfish Optimizer Based on Adaptive β-Hill Climbing for Feature Selection
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DOI: 10.1109/access.2020.2991543
Abstract: Feature selection (FS), an important pre-processing step in the fields of machine learning and data mining, has immense impact on the outcome of the corresponding learning models. Basically, it aims to remove all possible irrelevant… read more here.
Keywords: tex math; inline formula; optimizer;
Developed Approach Based on Equilibrium Optimizer for Optimal Design of Hybrid PV/Wind/Diesel/Battery Microgrid in Dakhla, Morocco
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DOI: 10.1109/access.2021.3051573
Abstract: In this paper, a new application of Equilibrium Optimizer (EO) is proposed for design hybrid microgrid to feed the electricity to Dakhla, Morocco, as an isolated area. EO is selected to design the microgrid system… read more here.
Keywords: diesel; system; design hybrid; equilibrium optimizer ... See more keywords
Modified Interactive Algorithm Based on Runge Kutta Optimizer for Photovoltaic Modeling: Justification Under Partial Shading and Varied Temperature Conditions
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3152160
Abstract: The accuracy of characteristic the PV cell/module/array under several operating conditions of radiation and temperature mainly relies on their equivalent circuits sequentially; it is based on identified parameters of the circuits. Therefore, this paper proposes… read more here.
Keywords: modified interactive; optimizer; series; tex math ... See more keywords