Results 11 to 20 of about 13,131 (261)

An Improved Beetle Swarm Optimization Algorithm for the Intelligent Navigation Control of Autonomous Sailing Robots

open access: yesIEEE Access, 2021
Autonomous sailing robots are a new type of green ship that use wind energy to maintain continuous cruising operations. Compared with traditional algorithms, swarm intelligence optimization algorithms have better intelligence and adaptation.
Lin Zhou   +4 more
doaj   +1 more source

A survey of swarm intelligence for dynamic optimization: Algorithms and applications [PDF]

open access: yesSwarm and Evolutionary Computation, 2017
Swarm intelligence (SI) algorithms, including ant colony optimization, particle swarm optimization, bee-inspired algorithms, bacterial foraging optimization, firefly algorithms, fish swarm optimization and many more, have been proven to be good methods to address difficult optimization problems under stationary environments.
Michalis Mavrovouniotis   +2 more
openaire   +3 more sources

A Swarm Intelligence Optimization Algorithm for Cryptocurrency Portfolio Optimization

open access: yesAnemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, 2022
In recent years, cryptocurrency has been widely adopted and seen as an alternative investment tool for investors. However, which cryptocurrency to invest in and how much to invest becomes a problem. Since there is a conflict of multiple criteria, portfolio optimization (PO) is needed to solve the problem.
Ahmet YURTSAL   +2 more
openaire   +4 more sources

Lightweight and green design of general bridge crane structure based on multi- specular reflection algorithm

open access: yesAdvances in Mechanical Engineering, 2021
At present, there are some problems that need to be solved in crane steel structure design, such as heavy self-weight of finished structure, high production energy consumption, and huge manufacturing costs.
Qisong Qi   +4 more
doaj   +1 more source

Swarm Intelligence Algorithm for Microwave Filter Optimization [PDF]

open access: yes, 2018
Dans cet article, trois algorithmes récents d'intelligence en essaim (optimisation du singe araignée (SMO), optimisation sociale de l'araignée (SSO) et optimisation basée sur l'apprentissage de l'enseignement (TLBO)) sont proposés pour l'optimisation du filtre micro-ondes (filtre à trois cavités dans le plan H).
Erredir Chahrazad   +2 more
openaire   +1 more source

A Diversity Model Based on Dimension Entropy and Its Application to Swarm Intelligence Algorithm

open access: yesEntropy, 2021
The swarm intelligence algorithm has become an important method to solve optimization problems because of its excellent self-organization, self-adaptation, and self-learning characteristics.
Hongwei Kang   +4 more
doaj   +1 more source

Two dimensional particle swarm optimization algorithm for load flow analysis [PDF]

open access: yesInternational Journal of Computational Intelligence Systems, 2014
Methods generally used for load flow analysis have been found to be time consuming and complex. This paper presents an optimization algorithm for load flow analysis inspired from swarm optimization techniques.
Shabana Mehfuz, Sumit Kumar
doaj   +1 more source

Swarm Intelligence-Based Performance Optimization for Mobile Wireless Sensor Networks: Survey, Challenges, and Future Directions

open access: yesIEEE Access, 2019
Network performance optimization has always been one of the important research subjects in mobile wireless sensor networks. With the expansion of the application field of MWSNs and the complexity of the working environment, traditional network ...
Li Cao, Yong Cai, Yinggao Yue
doaj   +1 more source

Particle Filtering Optimized by Swarm Intelligence Algorithm

open access: yesJournal of Intelligent Learning Systems and Applications, 2010
A new filtering algorithm — PSO-UPF was proposed for nonlinear dynamic systems. Basing on the concept of re-sampling, particles with bigger weights should be re-sampled more time, and in the PSO-UPF, after calculating the weight of particles, some particles will join in the refining process, which means that these particles will move to the region with
Wei Jing   +3 more
openaire   +2 more sources

From Swarm Intelligence to Metaheuristics: Nature-Inspired Optimization Algorithms [PDF]

open access: yesComputer, 2016
Nature has provided rich models for computational problem solving, including optimizations based on the swarm intelligence exhibited by fireflies, bats, and ants. These models can stimulate computer scientists to think nontraditionally in creating tools to address application design challenges.
Xin-She Yang 0001   +4 more
openaire   +1 more source

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