Results 211 to 220 of about 13,189 (260)

Energy-aware and trust-based secure routing in manets using swarm intelligence techniques. [PDF]

Sci Rep
Hemalatha S, Das NN, Arunkumar R, Singh C.   +3 more
europepmc   +1 more source

Enhancing particle swarm optimization based on optical computing mechanism: application to dyslexia detection. [PDF]

Front Artif Intell
Mahmoud N, Abd Elaziz M, Dahou A, Ghatasheh M, Fares IA, Al-Betar MA, Ewees AA.   +6 more
europepmc   +1 more source

Real-time implementation of a new MPPT technique based on Shifted Hyperbolic Tangent Function under various weather conditions. [PDF]

Sci Rep
Mahho M, Yılmaz M, Çorapsız MF.
europepmc   +1 more source

Development of a prediction model for postoperative urinary tract infection in ureteral stone patients based on automated machine learning models. [PDF]

Front Physiol
Li D, Fang T, Li S.
europepmc   +1 more source

Nature-inspired swarm optimization paradigms for securing semantic web frameworks against DDoS attacks: a computational approach. [PDF]

Sci Rep
Ganguli C, Kumar Shandilya S, Izonin I, Hentosh L.   +3 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

A Unified Frame of Swarm Intelligence Optimization Algorithm

Advances in Intelligent and Soft Computing, 2012
Swarm intelligence optimization algorithm is a heuristic search algorithm based on the swarm intelligent behavior of biology, which shows excellent performance in deal with complex optimization problems. On the basis of analyzing particle swarm optimization algorithm, ant colony algorithm and artificial bee colony algorithm, the paper presents a ...
Chen Jia-zhao, Zhang Yu-xiang, Luo Yin-sheng   +2 more
exaly   +2 more sources

The Swarm Intelligence Optimization Algorithm and its Application

Advanced Materials Research, 2013
In the article, three kinds of swarm intelligence optimization algorithm are discussed including the ant colony optimization (ACO) algorithm, the particle swarm optimization (PSO) algorithm and the shuffled frog leaping algorithm (SFLA). The principle, development and application of each algorithm is introduced.
exaly   +2 more sources

An Adaptive Location-Aware Swarm Intelligence Optimization Algorithm

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2021
Optimization is an important and decisive task in science. Many optimization problems in science are naturally too complicated and difficult to be modeled and solved by the conventional optimization methods such as mathematical programming problem solvers. Meta-heuristic algorithms that are inspired by nature have started a new era in computing theory
Shenghao Jiang, Saeed Mashdoor, Hamid Parvin, Bui Anh Tuan, Kim-Hung Pho   +4 more
openaire   +1 more source

Optimization of artificial CNN based on swarm intelligence algorithm

Journal of Intelligent & Fuzzy Systems, 2020
Aiming at the precocious convergence, low search accuracy and easy divergence of most particle swarm optimizations with velocity terms, a particle swarm optimization (IWPSO) with random inertia weights and quantization is proposed. First, the inertia weights are obeyed to be distributed randomly, and the learning factors are adjusted asynchronously to ...
Qian Li, Shuyuan Li
openaire   +1 more source

Survey of swarm intelligence optimization algorithms

2017 IEEE International Conference on Unmanned Systems (ICUS), 2017
Unmanned aerial vehicles (UAVs) swarm technology has been a hot topic. The concept of swarm comes from nature, such as the cooperation of bee colony or ant colony, so the research of swarm intelligence (SI) optimization algorithm inspired by swarm activities in nature is beneficial to the development of swarm UAVs technology.
Feng Yang, Pengxiang Wang, Yizhai Zhang, Litao Zheng, Jianchun Lu   +4 more
openaire   +1 more source