Results 1 to 10 of about 548,222 (296)

Bayesian network structure learning by opposition-based learning [PDF]

Scientific Reports
As a classical basic model for causal inference, Bayesian networks are of vital importance both in artificial intelligence with uncertainty and interpretability.
Baodan Sun, Xinyi Zhang, Junhui Jiang, Jianguang Gong, Dan Lin   +4 more
doaj   +3 more sources

Fast random opposition-based learning Aquila optimization algorithm [PDF]

Heliyon
Meta-heuristic algorithms are usually employed to address a variety of challenging optimization problems. In recent years, there has been a continuous effort to develop new and efficient meta-heuristic algorithms.
S. Gopi, Prabhujit Mohapatra
doaj   +4 more sources

Opposition-based learning techniques in metaheuristics: classification, comparison, and convergence analysis [PDF]

PeerJ Computer Science
In recent years, opposition-based learning (OBL) has emerged as a powerful enhancement strategy in metaheuristic algorithms (MAs), gaining significant attention for its potential to accelerate convergence and improve solution quality.
Rihab Lakbichi, Farouq Zitouni, Saad Harous, Aridj Ferhat, Abdelhadi Limane, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed   +7 more
doaj   +3 more sources

A Random Opposition-Based Learning Grey Wolf Optimizer [PDF]

IEEE Access, 2019
Grey wolf optimizer (GWO) algorithm is a swarm intelligence optimization technique that is recently developed to mimic the hunting behavior and leadership hierarchy of grey wolves in nature.
Wen Long, Jianjun Jiao, Ximing Liang, Shaohong Cai, Ming Xu   +4 more
doaj   +2 more sources

An improved linear prediction evolution algorithm based on topological opposition-based learning for optimization [PDF]

MethodsX
Prediction-based evolutionary algorithm is one of the emerging category of meta-heuristic optimization techniques. The improved linear prediction evolution algorithm (ILPE) is a recently developed meta-heuristic optimization technique that draws ...
A.M. Mohiuddin, Jagdish Chand Bansal
doaj   +2 more sources

Enhanced opposition-based American zebra optimization algorithm for global optimization [PDF]

Scientific Reports
This study is an attempt to improve the recently introduced American Zebra Optimization Algorithm (AZOA), which is inspired by the leadership dynamics and scavenging behaviour of American zebras in nature.
Sarada Mohapatra, Vanisree Chandran, Deepa Kaliyaperumal, Prabhujit Mohapatra   +3 more
doaj   +2 more sources

Black-Winged Kite Algorithm Integrating Opposition-Based Learning and Quasi-Newton Strategy [PDF]

Biomimetics
To address the deficiencies in global search capability and population diversity decline of the black-winged kite algorithm (BKA), this paper proposes an enhanced black-winged kite algorithm integrating opposition-based learning and quasi-Newton strategy
Ning Zhao, Tinghua Wang, Yating Zhu
doaj   +2 more sources

Fick’s Law Algorithm Enhanced with Opposition-Based Learning

Mathematics
Metaheuristic algorithms are widely used for solving complex optimization problems without relying on gradient information. They efficiently explore large, non-convex, and high-dimensional search spaces but face challenges with dynamic environments ...
Charis Ntakolia
doaj   +2 more sources

Deep learning based thyroid prediction with opposition learning based red panda optimization feature selection [PDF]

Scientific Reports
This research introduces a novel approach for thyroid prediction by considering three various publicly available datasets. The input data from the dataset is preprocessed to ensure standardization and balance for mitigating the biased outcomes. Then, the
K. Hema Priya, K. Valarmathi
doaj   +2 more sources

Medical image segmentation based on simulated annealing and opposition-based learning island algorithm. [PDF]

PLoS ONE
With the development of society and changes in the human living environment, people are increasingly attaching importance to their own health. Regarding medical imaging examinations of certain parts of the body, the process of medical image segmentation ...
M A JiMing, Duan HongYu, Wang YuFan, Wang LiNa   +3 more
doaj   +2 more sources