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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
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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
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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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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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A survey: algorithms simulating bee swarm intelligence
Artificial Intelligence Review, 2009Swarm intelligence is an emerging area in the field of optimization and researchers have developed various algorithms by modeling the behaviors of different swarm of animals and insects such as ants, termites, bees, birds, fishes. In 1990s, Ant Colony Optimization based on ant swarm and Particle Swarm Optimization based on bird flocks and fish schools ...
Dervis Karaboga, Bahriye Akay
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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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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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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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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
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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
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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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