Results 1 to 10 of about 550,063 (331)

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   +6 more sources

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

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   +4 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   +3 more sources

Chaos Gray Wolf global optimization algorithm based on Opposition- based Learning [PDF]

Proceedings of the 2023 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, 2022
Abstract Gray wolf optimizer (GWO) is a new heuristic algorithm. It has few parameters and strong optimization ability and is used in many fields. However, when solving complex and multimodal functions, it is also easy to trap into the local optimum and premature convergence.
Zhiyong Luo, Mingxiang Tan, Zhengwen Huang, Guoquan Li   +3 more
openalex   +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

PCOBL: A Novel Opposition-Based Learning Strategy to Improve Metaheuristics Exploration and Exploitation for Solving Global Optimization Problems [PDF]

IEEE Access, 2023
Meta-heuristics are commonly applied to solve various global optimization problems. In order to make the meta-heuristics performing a global search, balancing their exploration and exploration ability is still an open avenue.
Tapas Si, Debolina Bhattacharya, Somen Nayak, Pericles B. C. Miranda, Utpal Nandi, Saurav Mallik, Ujjwal Maulik, Hong Qin   +7 more
doaj   +2 more sources

Optimal Defense Strategy Selection Algorithm Based on Reinforcement Learning and Opposition-Based Learning

Applied Sciences, 2022
Industrial control systems (ICS) are facing increasing cybersecurity issues, leading to enormous threats and risks to numerous industrial infrastructures. In order to resist such threats and risks, it is particularly important to scientifically construct
Yiqun Yue, Yang Zhou, Lijuan Xu, Dawei Zhao   +3 more
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