Results 221 to 230 of about 14,536 (260)
Some of the next articles are maybe not open access.
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 +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
Introduction of Swarm Intelligent Algorithms
2011It is fairly accepted fact that one of the most important human activities is decision making. It does not matter what field of activity one belongs to. Whether it is political, military, economic or technological, decisions have a far reaching influence on our lives. Optimization techniques play an important role in structural design, the very purpose
Lijuan Li, Feng Liu
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 swarm intelligence algorithm based game theory
International Journal of Computing Science and Mathematics, 2013In this paper, we established a relationship between particle swarm optimisation algorithms and game theory. On that basis, a swarm intelligence-based search mechanism is proposed and applied to solving the attribute reduction problem in the context of rough sets.
Yan-ping Bai, Yu Zhang
exaly +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 +1 more source
Using Entropy for Evaluating Swarm Intelligence Algorithms
2010In the last few years, the bio-inspired community has experienced a growing interest in the field of Swarm Intelligence algorithms applied to real world problems. In spite of the large number of algorithms using this approach, a few methodologies exist for evaluating the properties of self-organizing and the effectiveness in using these kinds of ...
Folino Gianluigi, Forestiero Agostino
openaire +3 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 +1 more source
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 +1 more source
Unified Swarm Intelligence Algorithms
2018In this chapter, the necessity of having developmental learning embedded in a swarm intelligence algorithm is confirmed by briefly considering brain evolution, brain development, brainstorming process, etc. Several swarm intelligence algorithms are looked at from a developmental learning perspective.
openaire +1 more source
Swarm Intelligence Clustering Algorithm Based on Attractor
2005Ant colonies behavior and their self-organizing capabilities have been popularly studied, and various swarm intelligence models and clustering algorithms also have been proposed. Unfortunately, the cluster number is often too high and convergence is also slow.
Qingyong Li +3 more
openaire +1 more source