International Journal of Intelligent Computing and Cybernetics: Volume 1 Issue 2

Classification confidence weighted majority voting using decision tree classifiers

Norbert Tóth, Béla Pataki

The purpose of this paper is to provide classification confidence value to every individual sample classified by decision trees and use this value to combine the classifiers.

Intelligent water drops algorithm: A new optimization method for solving the multiple knapsack problem

Hamed Shah‐Hosseini

The purpose of this paper is to test the capability of a new population‐based optimization algorithm for solving an NP‐hard problem, called “Multiple Knapsack Problem”, or MKP.

Creating melodies and baroque harmonies with ant colony optimization

Michael Geis, Martin Middendorf

The purpose of this paper is to propose an algorithm that is based on the ant colony optimization (ACO) metaheuristic for producing harmonized melodies. ACO is a nature inspired…

Design of optimal spacecraft‐asteroid formations through a hybrid global optimization approach

Christie Alisa Maddock, Massimiliano Vasile

The purpose of this paper is to present a methodology and experimental results on using global optimization algorithms to determine the optimal orbit, based on the mission…

An agent‐based simulation for multi‐UAVs coordinative sensing

Yee Ming Chen, Shu Hao Chang

The purpose of this paper is to present a model developed for emergent formation of multi‐unmanned aerial vehicles (UAVs) into functional teams that cooperatively complete a…

FDI algorithms of abrupt faults in controlled autoregressive processes

Hu Shaolin, Sun Guoji, Ouyang Huajiang, Chen Rushan

The purpose of this paper is to present research in detecting and identifying abrupt faults in controlled auto‐regressive (CAR) processes.

Energy efficient grid‐based routing in wireless sensor networks

Ranganathan Vidhyapriya, Ponnusamy Thangapandian Vanathi

The purpose of this paper is to explore grid‐based routing in wireless sensor networks and to compare the energy available in the network over time for different grid sizes.