Lecture notes in electrical engineering, Journal Year: 2024, Volume and Issue: unknown, P. 344 - 354
Published: Jan. 1, 2024
Language: Английский
Computers in Biology and Medicine, Journal Year: 2024, Volume and Issue: 169, P. 107922 - 107922
Published: Jan. 4, 2024
Language: Английский
Citations
28
The Journal of Supercomputing, Journal Year: 2024, Volume and Issue: 80(8), P. 10746 - 10795
Published: Jan. 4, 2024
Language: Английский
Citations
18
Electronics, Journal Year: 2022, Volume and Issue: 11(12), P. 1919 - 1919
Published: June 20, 2022
The Harris hawk optimizer is a recent population-based metaheuristics algorithm that simulates the hunting behavior of hawks. This swarm-based performs optimization procedure using novel way exploration and exploitation multiphases search. In this review research, we focused on applications developments well-established robust (HHO) as one most popular techniques 2020. Moreover, several experiments were carried out to prove powerfulness effectivness HHO compared with nine other state-of-art algorithms Congress Evolutionary Computation (CEC2005) CEC2017. literature paper includes deep insight about possible future directions ideas worth investigations regarding new variants its widespread applications.
Language: Английский
Citations
65
Journal of Industrial and Management Optimization, Journal Year: 2022, Volume and Issue: 19(6), P. 4663 - 4691
Published: Aug. 11, 2022
Disasters such as earthquakes, typhoons, floods and COVID-19 continue to threaten the lives of people in all countries. In order cover basic needs victims, emergency logistics should be implemented time. Location-routing problem (LRP) tackles facility location vehicle routing simultaneously obtain overall optimization. response shortage relief materials early post-disaster stage, a multi-objective model for LRP considering fairness is constructed by evaluating urgency coefficients demand points. The objectives are lowest cost, delivery time degree dissatisfaction. Since NP-hard problem, hybrid metaheuristic algorithm Discrete Particle Swarm Optimization (DPSO) Harris Hawks (HHO) designed solve model. addition, three improvement strategies, namely elite-opposition learning, nonlinear escaping energy, multi-probability random walk, introduced enhance its execution efficiency. Finally, effectiveness performance verified case study Wuhan. It demonstrates that more competitive with higher accuracy ability jump out local optimum than other algorithms.
Language: Английский
Citations
40
Knowledge-Based Systems, Journal Year: 2023, Volume and Issue: 262, P. 110247 - 110247
Published: Jan. 5, 2023
Language: Английский
Citations
25
Computers in Biology and Medicine, Journal Year: 2022, Volume and Issue: 145, P. 105397 - 105397
Published: March 12, 2022
Language: Английский
Citations
29
Energy Reports, Journal Year: 2022, Volume and Issue: 8, P. 11769 - 11798
Published: Sept. 22, 2022
The management of renewable-powered smart grids deals with nonlinear optimization problems featuring a variety linear or constraints, discrete continuous variables, involving high dimensionality the solution space, and strict time requirements to identify optimal near-optimal solution. One promising approach for addressing such is apply bio-inspired population-based algorithms, many metaheuristics emerging lately. In this paper, we have identified highest impact published recently reviewed their applications in energy using Preferred Reporting Items Systematic reviews Meta-Analyses (PRISMA) methodology Web Science Core Collection as reference database. Four main grid application domains been analyzed: (i) prediction models' reduce uncertainty (ii) resources coordination handle stochastic nature renewables, (iii) demand response controllable loads flexibility while considering consumers' needs constraints (iv) efficiency costs. results showed advantages decentralized low computational resource overhead. At same time, several issues need be addressed increase adoption scenarios: lack standard testing methodologies benchmarks, efficient exploration exploitation search guidelines clear links type problems, etc.
Language: Английский
Citations
28
Computers in Biology and Medicine, Journal Year: 2022, Volume and Issue: 150, P. 106003 - 106003
Published: Aug. 24, 2022
Language: Английский
Citations
26
Neural Computing and Applications, Journal Year: 2022, Volume and Issue: 35(1), P. 855 - 886
Published: Sept. 23, 2022
Image segmentation is a critical step in digital image processing applications. One of the most preferred methods for multilevel thresholding, which set threshold values determined to divide an into different classes. However, computational complexity increases when required thresholds are high. Therefore, this paper introduces modified Coronavirus Optimization algorithm segmentation. In proposed algorithm, chaotic map concept added initialization naive increase diversity solutions. A hybrid two commonly used methods, Otsu's and Kapur's entropy, applied form new fitness function determine optimum values. The evaluated using datasets, including six benchmarks satellite images. Various evaluation metrics measure quality segmented images such as mean square error, peak signal-to-noise ratio, Structural Similarity Index, Feature Normalized Correlation Coefficient. Additionally, best calculated demonstrate method's ability find solution. obtained results compared eleven powerful recent metaheuristics prove superiority problem.
Language: Английский
Citations
26
Computers in Biology and Medicine, Journal Year: 2024, Volume and Issue: 176, P. 108498 - 108498
Published: April 30, 2024
Language: Английский
Citations
5