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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
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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
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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
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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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On the Localization Properties of Swarm Intelligence Algorithms
2023 International Conference on Information and Digital Technologies (IDT), 2023Zoltán Gál +2 more
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Different Types of Swarm Intelligence Algorithm for Routing
2009 International Conference on Advances in Recent Technologies in Communication and Computing, 2009Swarm intelligence (SI) is emerged with collective intelligence of groups of simple agents. SI offers an alternative way of designing intelligent system, in which autonomy, emergence and distributed functioning replaces control, preprogramming and centralization systems.
G. S. Sharvani +2 more
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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
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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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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
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Preaching-inspired swarm intelligence algorithm and its applications
Knowledge-Based Systems, 2021Dong Wei, Lei Si
exaly