Results 21 to 30 of about 1,304,632 (243)

EqualTDRL: illustrating equivalent tandem duplication random loss rearrangements

BMC Bioinformatics, 2018
Background To study the differences between two unichromosomal circular genomes, e.g., mitochondrial genomes, under the tandem duplication random loss (TDRL) rearrangement it is important to consider the whole set of potential TDRL rearrangement events ...
Tom Hartmann, Matthias Bernt, Martin Middendorf   +2 more
doaj   +1 more source

Application of Swarm Intelligence Optimization Algorithms in Image Processing: A Comprehensive Review of Analysis, Synthesis, and Optimization

Biomimetics, 2023
Image processing technology has always been a hot and difficult topic in the field of artificial intelligence. With the rise and development of machine learning and deep learning methods, swarm intelligence algorithms have become a hot research direction,
Minghai Xu, Li Cao, Dongwan Lu, Zhongyi Hu, Yinggao Yue   +4 more
doaj   +1 more source

Creativity and Autonomy in Swarm Intelligence Systems [PDF]

, 2012
This work introduces two swarm intelligence algorithms -- one mimicking the behaviour of one species of ants (\emph{Leptothorax acervorum}) foraging (a `Stochastic Diffusion Search', SDS) and the other algorithm mimicking the behaviour of birds flocking (
Bishop, Mark (J. M.), al-Rifaie, Mohammad Majid, Bishop, Marc, Caines, Suzanne   +3 more
core   +2 more sources

Building nearest prototype classifiers using a Michigan approach PSO [PDF]

, 2007
IEEE Swarm Intelligence Symposium. Honolulu, HI, 1-5 april 2007This paper presents an application of particle swarm optimization (PSO) to continuous classification problems, using a Michigan approach. In this work, PSO is used to process training data to
Galván, Inés M., Alejandro Cervantes, Pedro Isasi, Cervantes Rovira, Alejandro, Ines Galvan, Cervantes, Alejandro, Isasi, Pedro, Galván León, Inés María, Isasi Viñuela, Pedro   +8 more
core   +1 more source

Review of Swarm Intelligence for Solving Symmetric Traveling Salesman Problem

Qubahan Academic Journal, 2023
Swarm Intelligence algorithms are computational intelligence algorithms inspired from the collective behavior of real swarms such as ant colony, fish school, bee colony, bat swarm, and other swarms in the nature.
Awaz Ahmad Shaban, Jayson A. Dela Fuente, Merdin Shamal Salih, Resen Ismail Ali   +3 more
doaj   +1 more source

Summary of New Group Intelligent Optimization Algorithms [PDF]

Zhengzhou Daxue xuebao. Gongxue ban, 2022
Intelligent optimization algorithms could be divided into four categories: nature-like optimization algorithm, evolutionary algorithm, plant growth simulation algorithm，and swarm intelligence optimization algorithm.The swarm intelligence optimization ...
GAO Yuelin, YANG Qinwen, WANG Xiaofeng, LI Jiahang, SONG Yanjie   +4 more
doaj   +1 more source

An Investigation into the Merger of Stochastic Diffusion Search and Particle Swarm Optimisation [PDF]

, 2011
This study reports early research aimed at applying the powerful resource allocation mechanism deployed in Stochastic Diffusion Search (SDS) to the Particle Swarm Optimiser (PSO) metaheuristic, effectively merging the two swarm intelligence algorithms ...
Blackwell, Tim, Tim Blackwell, Bishop, Mark John, Bishop, Mark (J. M.), al-Rifaie, Mohammad Majid, Mohammad Majid al-Rifaie, Mark John Bishop   +6 more
core   +1 more source

Real-time Prediction Model of Carrier Aircraft Landing Trajectory Based on Stagewise Autoencoders and Attention Mechanism [PDF]

Jisuanji kexue
During the landing process of an aircraft carrier,the carrier aircraft should fly along a relatively fixed trajectory to ensure that the touch point is located in the area where the stern arresting system is located.Therefore,the carrier aircraft ...
LI Zhe, LIU Yiyang, WANG Ke, YANG Jie, LI Yafei, XU Mingliang
doaj   +1 more source

A self-learning particle swarm optimizer for global optimization problems [PDF]

, 2011
Copyright @ 2011 IEEE. All Rights Reserved. This article was made available through the Brunel Open Access Publishing Fund.Particle swarm optimization (PSO) has been shown as an effective tool for solving global optimization problems.
Yang, S, Li, Changhe, Nguyen, T. T., null Changhe Li, null Shengxiang Yang, Nguyen, T T, Yang, Shengxiang, Li, C, null Trung Thanh Nguyen   +8 more
core   +1 more source

The problem of privacy in a digital society of swarm intelligence [PDF]

Известия Саратовского университета. Новая серия: Серия Философия. Психология. Педагогика
Introduction. The development of digital technologies requires the specification of the type of the emerging digital society. One of the development scenarios is the formation of a digital society of swarm intelligence. Theoretical analysis.
Shatkin, Maxim Alexandrovich
doaj   +1 more source