Results 21 to 30 of about 4,867,076 (293)

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

An Estimation of Distribution Particle Swarm Optimization Algorithm [PDF]

open access: yes, 2006
In this paper we present an estimation of distribution par-ticle swarm optimization algorithm that borrows ideas from recent de-velopments in ant colony optimization.
Iqbal, Mudassar   +5 more
core   +1 more source

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

open access: yes, 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   +8 more
core   +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

Particle swarm for attribute selection in Bayesian classification: an application to protein function prediction [PDF]

open access: yes, 2008
The discrete particle swarm optimization (DPSO) algorithm is an optimization technique which belongs to the fertile paradigm of Swarm Intelligence. Designed for the task of attribute selection, the DPSO deals with discrete variables in a straightforward ...
Freitas, AA   +5 more
core   +1 more source

Fast multi-swarm optimization for dynamic optimization problems [PDF]

open access: yes, 2008
This article is posted here with permission of IEEE - Copyright @ 2008 IEEEIn the real world, many applications are non-stationary optimization problems. This requires that the optimization algorithms need to not only find the global optimal solution but
Yang, S   +5 more
core   +1 more source

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