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Routing algorithm based on swarm intelligence
Proceedings of the 10th World Congress on Intelligent Control and Automation, 2012Swarm intelligence inspired by the social behavior of ants boasts a number of attractive features, including adaptation, robustness, decentralized and self-organizing nature, which are well suited for routing in modern communication networks. This paper describes a new adaptive dynamic routing algorithm for packet-switched communications networks based
Yong Lv, Yaodong Zhu
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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.
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Survey of swarm intelligence optimization algorithms
2017 IEEE International Conference on Unmanned Systems (ICUS), 2017Unmanned aerial vehicles (UAVs) swarm technology has been a hot topic. The concept of swarm comes from nature, such as the cooperation of bee colony or ant colony, so the research of swarm intelligence (SI) optimization algorithm inspired by swarm activities in nature is beneficial to the development of swarm UAVs technology.
Feng Yang +4 more
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Generalization ability of swarm intelligence algorithms
2018In this chapter, generalization ability of swarm intelligence algorithms solving problems with different number of dimensions is analyzed and discussed. Three algorithms, brain storm optimization in objective space (BSO-OS), fireworks algorithm (FWA), and particle swarm optimization (PSO) algorithm, are selected as illustrations to explain the ...
null Shi Cheng +5 more
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Overview of Algorithms for Swarm Intelligence
2011Swarm intelligence (SI) is based on collective behavior of selforganized systems. Typical swarm intelligence schemes include Particle Swarm Optimization (PSO), Ant Colony System (ACS), Stochastic Diffusion Search (SDS), Bacteria Foraging (BF), the Artificial Bee Colony (ABC), and so on. Besides the applications to conventional optimization problems, SI
Shu-Chuan Chu +3 more
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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
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Swarm Intelligence Algorithms for Portfolio Optimization
2010Swarm Intelligence (SI) is a relatively new technology that takes its inspiration from the behavior of social insects and flocking animals In this paper, we focus on two main SI algorithms: Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) An extension of ACO algorithm and a PSO algorithm has been implemented to solve the portfolio ...
Hanhong Zhu, Yun Chen, Kesheng Wang
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Clinical management of metastatic colorectal cancer in the era of precision medicine
Ca-A Cancer Journal for Clinicians, 2022, Davide Ciardiello, Giulia Martini
exaly