Results 221 to 230 of about 15,475 (260)
Some of the next articles are maybe not open access.
A framework for the analysis and synthesis of Swarm Intelligence algorithms
Journal of Experimental & Theoretical Artificial Intelligence, 2020Over the last decades, the number of Swarm Intelligence algorithms proposed in the literature has increased considerably.
Dávila Patrícia Ferreira Cruz +2 more
openaire +2 more sources
A critical discussion into the core of swarm intelligence algorithms
Evolutionary Intelligence, 2019The literature is now filled with swarm intelligence algorithms developed by taking inspiration from a number of insects and other animals and phenomena, such as ants, termites, bees, fishes and cockroaches, to name just a few. Many, if not most, of these bioinspirations carry with them some common issues and features which happen at the individual ...
Dávila Patrícia Ferreira Cruz +2 more
openaire +2 more sources
Prospecting Swarm Intelligent Algorithms
2011As reviewed in previous chapters, there are only a few optimization algorithms inspired by animal behavior, including ACO, PSO and GSO. Although, PSO and GSO both are swarm intelligence (SI) optimization algorithms and draw inspiration from animal social forging behavior, both of them were initially proposed for continuous function optimization ...
Lijuan Li, Feng Liu
openaire +1 more source
A Swarm Intelligence Algorithm Based on Boundary Mutation
2010 International Conference on Computational Intelligence and Security, 2010In this paper, a new swarm intelligence algorithm called SIA for global optimization is proposed. Each individual in population is firstly projected onto the boundary of the search space in order to extend the region of the global search. Secondly, a probability of generating new individual is computed based on the function values of the individual ...
Hongwei Lin, Yuping Wang 0003, Cai Dai
openaire +2 more sources
A Swarm Intelligence Algorithm for Joint Sparse Recovery
IEEE Signal Processing Letters, 2013This letter addresses the joint sparse recovery problem, which is a hot topic in the compressed sensing (CS) theory and its various applications. Inspired by particle swarm optimization (PSO) algorithm and some sparse recovery algorithms, a novel swarm intelligence algorithm called M-SISR is proposed to solve the problem.
Xinpeng Du, Lizhi Cheng, Lufeng Liu
openaire +1 more source
Review on Swarm Intelligence Algorithms
2018Swarm intelligence (SI) is artificial intelligence based on the collective behavior of decentralized, self-organized systems. SI systems are typically made up of a population of simple agents interacting locally with one another and with their environment. This paper summarizes the research status of swarm intelligence optimization algorithms.
openaire +1 more source
Swarm Intelligence: A Review of Algorithms
2017Swarm intelligence (SI), an integral part in the field of artificial intelligence, is gradually gaining prominence, as more and more high complexity problems require solutions which may be sub-optimal but yet achievable within a reasonable period of time.
Amrita Chakraborty, Arpan Kumar Kar
openaire +1 more source
A new Swarm Intelligence algorithm for image alignment
IET 3rd International Conference MEDSIP 2006. Advances in Medical, Signal and Information Processing, 2006Swarm Intelligence is the emergent collective intelligence of groups composed of simple and quasi-independent agents. Algorithms following this paradigm show many desirable properties: flexibility, decentralized control, robustness, fault tolerance.
DA SAN MARTINO G +2 more
openaire +2 more sources
On the Localization Properties of Swarm Intelligence Algorithms
2023 International Conference on Information and Digital Technologies (IDT), 2023Zoltán Gál +2 more
openaire +2 more sources
Journal of Field Robotics
ABSTRACTSwarm technology is evolving quickly in the new era in the domains of autonomous underwater vehicles (AUVs), unmanned aerial vehicles (UAVs), and unmanned ground vehicles (UGVs). Swarm technology takes its cues from nature, particularly from the behaviors of ants, bees, schools of fish, and birds.
Krishna Vamshi Ganduri +1 more
openaire +2 more sources
ABSTRACTSwarm technology is evolving quickly in the new era in the domains of autonomous underwater vehicles (AUVs), unmanned aerial vehicles (UAVs), and unmanned ground vehicles (UGVs). Swarm technology takes its cues from nature, particularly from the behaviors of ants, bees, schools of fish, and birds.
Krishna Vamshi Ganduri +1 more
openaire +2 more sources