International Journal of Intelligent Computing and Cybernetics: Volume 7 Issue 2

Subject:

Table of contents

Implicit memory-based technique in solving dynamic scheduling problems through Response Surface Methodology – Part I: Model and method

Manuel Blanco Abello, Zbigniew Michalewicz

This is the first part of a two-part paper. The purpose of this paper is to report on methods that use the Response Surface Methodology (RSM) to investigate an Evolutionary…

Implicit memory-based technique in solving dynamic scheduling problems through Response Surface Methodology – Part II: Experiments and analysis

Manuel Blanco Abello, Zbigniew Michalewicz

This is the second part of a two-part paper. The purpose of this paper is to report the results on the application of the methods that use the Response Surface Methodology to…

Chaotic artificial bee colony approach to step planning of maintaining balance for quadruped robot

Qinan Luo, Haibin Duan

Artificial bee colony (ABC) algorithm is a relatively new optimization method inspired by the herd behavior of honey bees, which shows quite intelligence. The purpose of this…

A fuzzy imperialistic competitive algorithm for optimizing convex functions

Mahsan Esmaeilzadeh Tarei, Bijan Abdollahi, Mohammad Nakhaei

The purpose of this paper is to describe imperialist competitive algorithm (ICA), a novel socio-politically inspired optimization strategy for proposing a fuzzy variant of this…

Gain adaptive sliding mode controller based on interval type-II fuzzy neural network designed for attitude control for micro aircraft vehicle

Xiangjian Chen, Di Li, Zhijun Xu, Yue Bai

Micro aerial vehicle is nonlinear plant; it is difficult to obtain stable control for MAV attitude due to uncertainties. The purpose of this paper is to propose one robust stable…

Cover of International Journal of Intelligent Computing and Cybernetics

ISSN:

1756-378X

Online date, start – end:

2008

Copyright Holder:

Emerald Publishing Limited

Open Access:

hybrid

Editors:

  • Prof Adil Baykasoglu
  • Prof. Dr. Gandolfo Dominici