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A novel search algorithm based on fish school behavior
TLDR
In this paper we introduce a novel approach for searching in high-dimensional spaces taking into account behaviors drawn from fish schools. Expand
Growing Self-Reconstruction Maps
TLDR
In this paper, we propose a new method for surface reconstruction based on growing self-organizing maps (SOMs) that includes the concept of triangular faces in the learning algorithm. Expand
Optimization of hybrid PV/wind power system for remote telecom station
TLDR
The rapid depletion of fossil fuel resources and environmental concerns has given awareness on generation of renewable energy resources. Expand
A systematic review of gait analysis methods based on inertial sensors and adaptive algorithms.
TLDR
This paper aims to summarize studies that applied adaptive also called artificial intelligence (AI) algorithms to gait analysis based on inertial sensor data, verifying if they can support the clinical evaluation. Expand
Migration and social networks — An explanatory multi-evolutionary agent-based model
TLDR
We propose a new multi-evolutionary agent model dedicated to social simulations, mainly for those problems where higher order dynamic behaviors are important to the investigated phenomenon. Expand
A hybrid approach for IEEE 802.11 intrusion detection based on AIS, MAS and naïve Bayes
TLDR
In this paper, we use the Danger Theory (DT) and a Bayesian classifier (using naïve Bayes) embedded in a military style multi-agent system (MAS) to create a lightweight, adaptable and dynamic detection system for wireless networks. Expand
Fish School Search
TLDR
We provide an overview of Fish School Search (FSS), a novel approach for searching in high-dimensional spaces based on the behaviors of fish schools. Expand
Survey on Computational Trust and Reputation Models
TLDR
A new integrated review and analysis scheme for reputation and trust models is put forward. Expand
Improving RBF-DDA performance on optical character recognition through parameter selection
TLDR
The dynamic decay adjustment (DDA) algorithm is a fast constructive algorithm for training RBF neural networks. Expand
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