Results 1 to 10 of about 5,500 (226)

Levy flight-improved grey wolf optimizer algorithm-based support vector regression model for dam deformation prediction

Frontiers in Earth Science, 2023
Considering the strong non-linear time-varying behavior of dam deformation, a novel prediction model, called Levy flight-based grey wolf optimizer optimized support vector regression (LGWO-SVR), is proposed to forecast the displacements of hydropower ...
Peng He, Wenjing Wu
doaj   +1 more source

Improved Black Hole Algorithm Based on Golden Sine Operator and Levy Flight Operator

IEEE Access, 2019
The black hole (BH) algorithm is a new type of natural heuristic algorithm inspired by the movement law of the “black hole” celestial body in the universe.
W. Xie, J. S. Wang, Y. Tao
doaj   +1 more source

Path Planning of Autonomous Mobile Robots Based on an Improved Slime Mould Algorithm

Drones, 2023
Path planning is a crucial component of autonomous mobile robot (AMR) systems. The slime mould algorithm (SMA), as one of the most popular path-planning approaches, shows excellent performance in the AMR field. Despite its advantages, there is still room
Ling Zheng, Yan Tian, Hu Wang, Chengzhi Hong, Bijun Li   +4 more
doaj   +1 more source

Path Planning of Unmanned Aerial Vehicles Based on an Improved Bio-Inspired Tuna Swarm Optimization Algorithm

Biomimetics
The Sine–Levy tuna swarm optimization (SLTSO) algorithm is a novel method based on the sine strategy and Levy flight guidance. It is presented as a solution to the shortcomings of the tuna swarm optimization (TSO) algorithm, which include its tendency to
Qinyong Wang, Minghai Xu, Zhongyi Hu
doaj   +1 more source

Cat Swarm Optimization with Lévy Flight for Link Load Balancing in SDN

Journal of Telecommunications and Information Technology
Efficient network communications with optimal network path selection play a key role in the modern world. Conventional path selection algorithms often face numerous challenges resulting from their limited scope of application.
Kwaku Kwarteng, Kwame O. Gyasi, Justice O. Agyemang, Kwame Agyekum, Kingsford Kwakye, Ellis M. Sani, Emmanuel A. Ampomah, Kusi A. Bonsu   +7 more
doaj   +1 more source

Lévy Distribution Meta-Heuristic Fuzzy-Based Optimization Algorithm for Optimal Framework Design of Type-2 Fuzzy Controller: Subject to Perturbations

Proceedings
New metaheuristic algorithms have recently been created based on Lévy Flight (LF), drawing inspiration from biological and natural events [...]
Himanshukumar Rajendrabhai Patel
doaj   +1 more source

Hybrid Bio-Optimized Algorithms for Hyperparameter Tuning in Machine Learning Models: A Software Defect Prediction Case Study

Mathematics
Addressing real-time optimization problems becomes increasingly challenging as their complexity continues to escalate over time. So bio-optimization algorithms (BoAs) come into the picture to solve such problems due to their global search capability ...
Madhusmita Das, Biju R. Mohan, Ram Mohana Reddy Guddeti, Nandini Prasad   +3 more
doaj   +1 more source

Multi-criteria Scheduling in Parallel Environment with Learning Effect

Foundations of Computing and Decision Sciences
This paper is devoted to the study of a multi-criteria scheduling problem on unrelated processors with machines’ learning effect, with the goal of minimizing makespan, machine cost and maximal flow-time simultaneously, which is an NP-hard problem.
Liu Xinbo, Feng Yue, Ding Ning, Li Rui, Chen Xin   +4 more
doaj   +1 more source

The Design and Application of Quantum-Behaved Particle Swarm Optimization Based on Levy Flight

Chemical Engineering Transactions, 2016
Both Particle Swarm Optimization (PSO) and its improved version of Quantum-behaved Particle Swarm Optimization (QPSO) are the novel swarm intelligence optimization algorithms.
Y.Y. Liu
doaj   +1 more source

An innovative coverage optimization method for smart information monitoring in agricultural IoT using the multi-strategy Pelican optimization algorithm

Scientific Reports
With the rapid advancement of agricultural technology, Agricultural Wireless Sensor Network (AWSN) monitoring for crop growth in large-scale fields has become pivotal in smart agriculture.
Wei Chen, Qike Cao, Bingyu Cao, Bo Jin
doaj   +1 more source