Results 71 to 80 of about 80,145 (283)

Characterizing the Social Interactions in the Artificial Bee Colony Algorithm

, 2019
Computational swarm intelligence consists of multiple artificial simple agents exchanging information while exploring a search space. Despite a rich literature in the field, with works improving old approaches and proposing new ones, the mechanism by ...
Bastos-Filho, Carmelo, Gurrapadi, Nishant, Macedo, Mariana, Menezes, Ronaldo, Oliveira, Marcos, Pinheiro, Diego, Taw, Lydia   +6 more
core   +1 more source

The analysis and re-optimization of food systems by using intelligent optimization algorithms and machine learning

All Life, 2022
Facing the serious concern of global food security, this study focuses on the feasibility of improvements to food systems and predicts future changes. This study proposes a coordination evaluation index incorporating diverse indicators of different food ...
Xu Wang
doaj   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

GPS Position Prediction Method Based on Chaotic Map-Based Flower Pollination Algorithm

Complexity, 2021
GPS position data prediction can effectively alleviate urban traffic, population flow, route planning, etc. It has very important research significance. Using swarm intelligence optimization algorithm to predict geographic location has important research
Wanjun Yang, Zengwu Sun
doaj   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

AutoBeeConf : A swarm intelligence algorithm for MANET administration [PDF]

International Journal of Advanced Research in Artificial Intelligence, 2013
In a mobile ad-hoc network (MANET) nodes are self-organized without any infrastructure support: they move arbitrarily causing the network to experience quick and random topology changes, have to act as routers as well as forwarding nodes, some of them do not communicate directly with each other. Routing and IP address auto-configuration are among the
Luca Caputo, Cristiano Davino, DE SANTIS, Filomena, Vincenzo Ferri   +3 more
openaire   +2 more sources

Designing a Robotic Platform for Investigating Swarm Robotics [PDF]

, 2019
This paper documents the design and subsequent construction of a low-cost, flexible robotic platform for swarm robotics research, and the selection of appropriate swarm algorithms for the implementation of a swarm focused predominantly on target location.
Gray, Jonathan
core   +1 more source

Particle Swarm Optimization Framework for Low Power Testing of VLSI Circuits

, 2011
Power dissipation in sequential circuits is due to increased toggling count of Circuit under Test, which depends upon test vectors applied. If successive test vectors sequences have more toggling nature then it is sure that toggling rate of flip flops is
Khosla, Arun, Narang, Sukhleen Bindra, Singh, Balwnder   +2 more
core   +2 more sources

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

Multiband Switchable Microwave Absorbing Metamaterials Based on Reconfigurable Kirigami–Origami

Advanced Functional Materials, EarlyView.
A reconfigurable metamaterial featuring tunable microwave‐absorbing and load‐bearing performance is proposed. Stretchable kirigami and bistable origami configurations are integrated as actuating components, and the synergistic deformation mechanisms are systematically analyzed.
Weimin Ding, Zhong Zhang, Zeang Zhao, Shengyu Duan, Panding Wang, Xiaogang Guo, Hongshuai Lei, Daining Fang   +7 more
wiley   +1 more source