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
Sign Up to like & getrecommendations! Published in 2020 at "Engineering with Computers"
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
Tornado optimizer with Coriolis force: a novel bio-inspired meta-heuristic algorithm for solving engineering problems
Sign Up to like & getrecommendations! Published in 2025 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-025-11118-9
Abstract: This paper proposes a new meta-heuristic algorithm named tornado optimizer with Coriolis force (TOC) which is applied to solve global optimization and constrained engineering problems in continuous search spaces. The fundamental concepts and ideas beyond… read more here.
Keywords: meta heuristic; optimizer; engineering; toc optimizer ... 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
Sign Up to like & getrecommendations! Published in 2021 at "Applied Mathematical Modelling"
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
Gaussian Aquila optimizer based dual convolutional neural networks for identification and grading of osteoarthritis using knee joint images
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-57002-4
Abstract: Degenerative musculoskeletal disease known as Osteoarthritis (OA) causes serious pain and abnormalities for humans and on detecting at an early stage, timely treatment shall be initiated to the patients at the earliest to overcome this… read more here.
Keywords: convolutional neural; gaussian aquila; optimizer; dual convolutional ... See more keywords
Integrated transmission expansion planning incorporating fault current limiting devices and thyristor-controlled series compensation using meta-heuristic optimization techniques
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-63331-1
Abstract: Transmission expansion planning (TEP) is a vital process of ensuring power systems' reliable and efficient operation. The optimization of TEP is a complex challenge, necessitating the application of mathematical programming techniques and meta-heuristics. However, selecting… read more here.
Keywords: expansion planning; tep; meta heuristic; optimizer ... See more keywords
A multi-objective improved horse herd optimizer based on convex lens imaging for stochastic optimization of wind energy resources in distribution networks considering reliability and uncertainty
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-78977-0
Abstract: In this study, stochastic multi-objective allocation of wind turbines (WTs) in radial distribution networks is performed using a new multi-objective improved horse herd optimizer (MOIHHO) and an unscented transformation (UT) method for modeling the uncertainties… read more here.
Keywords: multi objective; horse herd; herd optimizer; optimizer ... See more keywords
A novel metaheuristic optimizer GPSed via artificial intelligence for reliable economic dispatch
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-06648-9
Abstract: Recently, meta-heuristic optimization algorithms have enhanced resource efficiency, facilitated informed decision-making, and addressed complex problems involving multiple variables and constraints in engineering and science fields. However, numerous handicaps are reported on the performance of a… read more here.
Keywords: economic dispatch; meta heuristic; artificial intelligence; optimizer ... See more keywords