Computational Intelligence in Control

by Mohammadian, Masoud; Sarker, Ruhul Amin; Yao, Xin; Mohammadian, Masoud; Amin, Ruhul; Yao, Xin

• ISBN13: 9781591400370
• ISBN10: 1591400376
• Format: Hardcover
• Copyright: 2002-12-01
• Publisher: Igi Global

Summary

The problem of controlling uncertain dynamic systems, which are subject to external disturbances, uncertainty and sheer complexity is of considerable interest in computer science, Operations Research and Business domains. The application of intelligent systems has been found useful in problems when the process is either difficult to model or difficult to solve by conventional methods. Intelligent systems have attracted increasing attention in recent years for solving many complex problems. Computational Intelligence in Control will be a repository for the theory and applications of intelligent systems techniques in modelling control and automation.

Table of Contents

Preface	vi
SECTION I: NEURAL NETWORKS DESIGN, CONTROL AND ROBOTICS APPLICATION
Designing Neural Network Ensembles by Minimising Mutual Information	1	(21)
Yong Liu
Xin Yao
Tetsuya Higuchi
A Perturbation Size-Independent Analysis of Robustness in Neural Networks by Randomized Algorithms	22	(19)
C. Alippi
Helicopter Motion Control Using a General Regression Neural Network	41	(28)
T. G. B. Amaral
M. M. Crisostomo
V. Fernao Pires
A Biologically Inspired Neural Network Approach to Real-Time Map Building and Path Planning	69	(19)
Simon X. Yang
SECTION II: HYBRID EVOLUTIONARY SYSTEMS FOR MODELLING, CONTROL AND ROBOTICS APPLICATIONS
Evolutionary Learning of Fuzzy Control in Robot-Soccer	88	(16)
P.J. Thomas
R.J. Stonier
Evolutionary Learning of a Box-Pushing Controller	104	(18)
Pieter Spronck
Ida Sprinkhuizen-Kuyper
Eric Postma
Rens Kortmann
Computational Intelligence for Modelling and Control of Multi-Robot Systems	122	(14)
M. Mohammadian
Integrating Genetic Algorithms and Finite Element Analyses for Structural Inverse Problems	136	(12)
D.C. Panni
A.D. Nurse
SECTION III: FUZZY LOGIC AND BAYESIAN SYSTEMS
On the Modelling of a Human Pilot Using Fuzzy Logic Control	148	(20)
M. Gestwa
J.-M. Bauschat
Bayesian Agencies in Control	168	(15)
Anet Potgieter
Judith Bishop
SECTION IV: MACHINE LEARNING, EVOLUTIONARY OPTIMISATION AND INFORMATION RETRIEVAL
Simulation Model for the Control of Olive Fly Bactrocera Oleae Using Artificial Life Technique	183	(14)
Hongfei Gong
Agostinho Claudio da Rosa
Applications of Data-Driven Modelling and Machine Learning in Control of Water Resources	197	(21)
D.P. Solomatine
Solving Two Multi-Objective Optimization Problems Using Evolutionary Algorithm	218	(15)
Ruhul A. Sarker
Hussein A. Abbass
Charles S. Newton
Flexible Job-Shop Scheduling Problems: Formulation, Lower Bounds, Encoding and Controlled Evolutionary Approach	233	(29)
Imed Kacem
Slim Hammadi
Pierre Borne
The Effect of Multi-Parent Recombination on Evolution Strategies for Noisy Objective Functions	262	(17)
Yoshiyuki Matsumura
Kazuhiro Ohkura
Kanji Ueda
On Measuring the Attributes of Evolutionary Algorithms: A Comparison of Algorithms Used for Information Retrieval	279	(22)
J.L. Fernandez-Villacanas Martin
P. Marrow
M. Shackleton
Design Wind Speeds Using Fast Fourier Transform: A Case Study	301	(20)
Z. Ismail
N. H. Ramli
Z. Ibrahim
T. A. Majid
G. Sundaraj
W. H. W. Badaruzzaman
About the Authors	321	(12)
Index	333