Efficient initialization methods for population-based metaheuristic algorithms: A comparative study
The size, nature, and diversity of the initial population of population-based metaheuristic
algorithms and the number of times the algorithm iterates play a significant role in the …
algorithms and the number of times the algorithm iterates play a significant role in the …
Initialisation approaches for population-based metaheuristic algorithms: a comprehensive review
JO Agushaka, AE Ezugwu - Applied Sciences, 2022 - mdpi.com
A situation where the set of initial solutions lies near the position of the true optimality (most
favourable or desirable solution) by chance can increase the probability of finding the true …
favourable or desirable solution) by chance can increase the probability of finding the true …
Multilevel thresholding image segmentation based on improved volleyball premier league algorithm using whale optimization algorithm
Multilevel thresholding image segmentation has received considerable attention in several
image processing applications. However, the process of determining the optimal threshold …
image processing applications. However, the process of determining the optimal threshold …
An improved discrete bees algorithm for correlation-aware service aggregation optimization in cloud manufacturing
W Xu, S Tian, Q Liu, Y Xie, Z Zhou, DT Pham - The International Journal of …, 2016 - Springer
As an effective approach to realize value and efficiency-added manufacturing activities,
service aggregation usually plays an important role in cloud manufacturing (CMfg), and in …
service aggregation usually plays an important role in cloud manufacturing (CMfg), and in …
A multilevel image thresholding based on hybrid salp swarm algorithm and fuzzy entropy
HSN Alwerfali, M Abd Elaziz, MAA Al-Qaness… - Ieee …, 2019 - ieeexplore.ieee.org
The image segmentation techniques based on multi-level threshold value received lot of
attention in recent years. It is because they can be used as a pre-processing step in complex …
attention in recent years. It is because they can be used as a pre-processing step in complex …
ASCAEO: accelerated sine cosine algorithm hybridized with equilibrium optimizer with application in image segmentation using multilevel thresholding
S Thapliyal, N Kumar - Evolving Systems, 2024 - Springer
The current trend in global optimization research is to hybridize multiple variants to improve
the quality of solutions to real-world problems that have recently arisen in practise. This …
the quality of solutions to real-world problems that have recently arisen in practise. This …
Enhancing the Bees Algorithm using the traplining metaphor
AH Ismail - 2021 - etheses.bham.ac.uk
This work aims to improve the performance of the Bees Algorithm (BA), particularly in terms
of simplicity, accuracy, and convergence. Three improvements were made in this study as a …
of simplicity, accuracy, and convergence. Three improvements were made in this study as a …
A novel algorithm for image segmentation (IP-MH-MLT): employing an image partitioning technique with metaheuristic parameters to enhance multilevel thresholding
S Thapliyal, N Kumar - … Journal of System Assurance Engineering and …, 2024 - Springer
The multilevel threshold technique of image segmentation is a popular and intriguing
domain in the field of image vision and has received a lot of attention in several image …
domain in the field of image vision and has received a lot of attention in several image …
A new multilevel image thresholding algorithm based on image partitioning approach with metaheuristic parameter for segmentation
S Thapliyal, N Kumar - 2023 - researchsquare.com
The multilevel threshold technique of image segmentation is a popular and intriguing
domain in the field of image vision and has received a lot of attention in several image …
domain in the field of image vision and has received a lot of attention in several image …
An enhanced hybrid and adaptive meta-model based global optimization algorithm for engineering optimization problems
G Zhou, LB Duan, WZ Zhao, CY Wang, ZD Ma… - Science China …, 2016 - Springer
Due to the good balance between high efficiency and accuracy, meta-model based
optimization algorithm is an important global optimization category and has been widely …
optimization algorithm is an important global optimization category and has been widely …