swarm intelligence
Meetei Mayek Unicode Modeling Using Swarm Intelligence and Neural Networks
... This paper reveals a new and yet powerful approach for classifying the Meetei Mayek characters by using swarm intelligence combined with fuzzy logic and artificial neural network. Although very little work ...
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Swarm Behavior of the Electromagnetics Community as regards Using Swarm Intelligence in their Research Studies
... “swarm intelligence”, since its introduction by Beni and Wang in 1989 in the context of cellular robotic systems [1], has been a major multidisciplinary attraction center for researchers dealing especially ...
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Swarm Intelligence Based Ant Colony Optimization (ACO) Approach for Maximizing the Lifetime of Heterogeneous Wireless Sensor Networks
... This paper attempts to undertake the study of maximizing the lifetime of Heterogeneous wireless sensor networks (WSNs). In wireless sensor networks, sensor nodes are typically power-constrained with limited lifetime, and ...
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INFORMATION MANAGEMENT IN GLOBAL ENVIRONMENTS: Swarm Intelligence in multilingual economic document repositories
... Text clustering is a powerful technique for topic discovery from text that has been gaining popularity with the increasing availability of digital documents in various languages from all around the world. It involves two ...
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3.6 SWARM INTELLIGENCE - ACOgeneral
... Particle swarm optimization is another stochastic population-based metaheuristic in- spired from swarm intelligence [459]. It mimics the social behavior of natural organ- isms such as bird flocking ...
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Mobile Social Computing: Swarm Intelligence based Collaboration
... on swarm intelligence principles for socializing system is being ...the swarm intelligence and crowdsourcing in ...presents swarm intelligence based mechanism for distributed ...
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A DEOXYRIBONUCLEIC ACID COMPRESSION ALGORITHM USING AUTO-REGRESSION AND SWARM INTELLIGENCE
... Research studies to solve the DNA compression problem is still in progress to develop a technique that reach satisfactory compression ratio. To the best of author’s knowledge, this will be the first study that uses the ...
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Review on use of Swarm Intelligence Meta heuristics in Scheduling of FMS
... Dong-Sheng Xu et al.[28], proposed An Improved Ant Colony Optimization (IACO) algorithm to the Flexible Job Shop Scheduling Problem (FJSSP). IACO algorithm provides an effective integration between Ant Colony ...
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3.6.2 Particle Swarm Optimization - PSOGeneral
... The bee colony optimization-based algorithm is a stochastic P-metaheuristic that be- longs to the class of swarm intelligence algorithms. In the last decade, many studies based on various bee colony ...
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SENSOR DEPLOYMENT USING PARTICLE SWARM OPTIMIZATION
... In Wireless Sensor Networks (WSN), sensors are randomly deployed in the sensor field which brings the coverage problem. It is a unique problem and in maximizing coverage, the sensors need to be placed in a position such ...
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The Relationship Between Emotional Intelligence and Internet Addiction Among Youth and Adults
... emotional intelligence, nurses should be aware of their own emotions and how these affect them, thereby subsequently managing their own emotions and be- coming more effective in their activities, whether personal ...
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A cooperative active perception approach for swarm robotics
... The noisy evolution not only failed to evolve a more robust and scalable so- lution, but failed to solve the task at all, as the noise magnitude revealed to be destructive for this task. While search and identification ...
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Swarm Robots for Environmental Monitoring and Surveillance
... Abstract- Swarm robotics is a field of multi-robotics in which large numbers of robots are coordinated in a distributed and decentralized way. Large number of simple robots can perform complex tasks in a more ...
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Particle Swarm Optimisation for learning Bayesian Networks
... individual in the swarm is assigned a fitness score. With each iteration, a particle’s personal best (pBest) is referenced as well as the swarm’s global best score (gBest). It is these two factors that influence ...
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Modelo de Competitive Intelligence
... Key Intelligence Topics o output deveria ser um conjunto de objetivos para cada decisor dentro da ACM, acerca daquilo que este pretendia ver ...Competitive Intelligence, ou seja, pretende saber de que forma ...
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AN ANALYSIS OF THE USE OF BUSINESS INTELLIGENCE TECHNOLOGIES AS FACILITATORS OF UNIVERSITY MANAGEMENT :: Brapci ::
... Barbieri (2001), just like Turban et al. (2009), understands BI as a conceptual umbrella from the new age of Information Economics, a society dedicated to capturing data, information and knowledge. BI approaches ...
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Mapeamento da produção científica sobre memória organizacional e ontologias.
... German Research Center for Artificial Intelligence (Alemanha). 2 3,57[r] ...
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Business Intelligence para PME
... Business Intelligence, é possível efectuar uma leitura intuitiva e rápida da informação contabilística e dos rácios de apoio à ...Business Intelligence com a ligação aos dados contabilísticos através das ...
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Métodos heurísticos aplicados no ajuste de curvas de Weibull em energia eólica
... (Particle Swarm Optimization) e HAP (Hybrid Ant Colony and Particle Swarm), sob a forma de ACO(T)-H, ACO(T)-HD, ACO(S)-H, ACO(S)-HD, PSO-H, PSO-HD, HAP-H e HAP-HD, onde os índices "T"e ...
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The Prediction of Social Adjustment Based on Emotional and Spiritual Intelligence
... Yousefi (2014). The findings are also in accordance with foreign writers’ conclusions e.g. Ryhay, (2012), Lu (2012); Chiang (2012). To explain the findings of present study, we can say that the individuals with high ...
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