A
ROLE FOR GENETIC ALGORITHMS IN AIRCRAFT PRELIMINARY DESIGN
In recent years, the aircraft design group at
Stanford has successfully applied gradient-based optimizers to a
variety of aeronautical design problems. Unfortunately, these methods
cannot be applied to problems with discrete variables or discontinuous
objective and constraint functions, because gradients are not defined
in these domains. Furthermore, gradient-based optimizers must start
with a specific parameterization of the design and are limited to
finding optimal values of the chosen design variables.
A
STOCHASTIC GENETIC ALGORITHM FOR DYNAMIC LOAD BALANCING IN DISTRIBUTED
SYSTEMS
(DOWNLOAD)
A
GENETIC ALGORITHM FOR THE AUTOMATED GENERATION OF MOLECULES WITHIN
CONSTRAINTS
R.C. Glen and A.W.R. Payne
AIRLINE
CREW SCHEDULING VIA GENETIC ALGORITHMS
This work was the topic of my Ph.D dissertation at
the Illinois Institute of Technology: "A Parallel Genetic
Algorithm For The Set Partitioning Problem." Click to read either
the Abstract or the whole Dissertation.
APPLICABILITY
OF GENETIC ALGORITHMS FOR ABDUCTIVE REASONING IN BAYESIAN BELIEF
NETWORKS
MIEUR Annual Report 1994
APPLYING
GENETIC ALGORITHMS TO RECURRENT NEURAL NETWORKS FOR LEARNING NETWORK
PARAMETERS AND [...]
by Omar Syed, a member of the NASA Lewis WebTeam
CSC
MATHEMATICAL TOPICS : GENETIC ALGORITHMS
Genetic algorithms (GA) are evolutionary computing
systems, which have been applied to optimization, machine learning
etc. Here is an animation of the evolution of a GA in solving a global
optimization problem. The animation was made by Juha Haataja at CSC.
CWI
MACHINE LEARNING & GENETIC ALGORITHMS
Project Descriptions
COMPRESSING
SPARSE TABLES USING A GENETIC ALGORITHM
Karel Driesen
CONSTRUCTION
OF NEURAL NETWORKS USING CELLULAR ENCODING AND THE GENETIC ALGORITHM
by Frederic Gruau, Stanford University
COST-SENSITIVE
CLASSIFICATION: EMPIRICAL EVALUATION OF A HYBRID GENETIC DECISION TREE
INDUCTION [..]
Peter D. Turney Journal of Artificial Intelligence
Research 2 (1995) 369-409 Submitted 10/94; published 3/95 (c) 1995
National Research Council Canada. All rights reserved. Published by
permission.
D.
LEVINE PAPERS
(only papers currently available through the Web
are listed here).
DNA
SEQUENCE ANALYSIS USING HIDDEN MARKOV MODEL AND GENETIC ALGORITHM
This program extracts signal patterns in DNA
sequences using Hidden Markov Model (HMM) and Genetic Algorithm (GA).
DESIGNING
BIOMORPHS WITH AN INTERACTIVE GENETIC ALGORITHM,
(DOWNLOAD)
EEAAX
- AVAILABLE PAPERS
Abstracts
EVOLVING
BETTER REPRESENTATIONS THROUGH SELECTIVE GENOME GROWTH
Lee Altenberg
EVOLVING
DYNAMICAL SYSTEMS WITH THE GENETIC ALGORITHM
(DOWNLOAD)
FLEXIBLE
LIGAND DOCKING USING A GENETIC ALGORITHM
C.M. Oshiro, I.D. Kuntz and J. Scott Dixon
FRACTAL
IMAGE COMPRESSION WITH THE GENETIC ALGORITHM
Ben Goertzel and Hiroo Miyamoto and Yoshimasa
Awata
FUZZY
LOGIC CONTROL SYSTEM DESIGN USING GENETIC ALGORITHMS
Y. Li, K. Ng, D.J. Murray-Smith and K.C. Sharman
GAG
PUBLICATIONS
This page contains a list of publications authored
by members of the Genetic Algorithms Group at George Mason University.
PostScript copies of most of these papers are available online.
GENETIC
ALGORITHM FOR MCM PARTITIONING
From the Abstract of Ram Vemuri and Ranga Vemuri's
"Genetic Algorithm for MCM Partitioning", in Electronic
Letters: An International Publication, August 1994.
GENETIC
ALGORITHM FOR RULE-SET PRODUCTION
GARP (Genetic Algorithm for Rule-set Production)
is an extension of the BIOCLIM approach which aims to develop models
with environmental data, including climate and soils data arbitrary
distributions, including bi-modal (two peaked) concise rules using few
variables
GENETIC
ALGORITHMS BIBLIOGRAPHY
This directory contains indexed bibliographies of
genetic algorithms in various application areas, geographical areas
etc. The files are all compresses PostScript files (except this README
file). Observe that each file is at least several hundred kilo bytes
long!
GENETIC
ALGORITHMS AND PROTEIN FOLDING
by Dr. Steffen Schulze-Kremer
GENETIC
ALGORITHMS AND RECURSIVE ENSEMBLE MUTAGENESIS IN PROTEIN ENGINEERING
Georg Füllen and Douglas C. Youvan Complexity
International 1994 1
GENETIC
ALGORITHMS FOR FREE-FORM SURFACE MATCHING
Kjell Brunnström and Andrew J. Stoddart
GENETIC
ALGORITHMS FOR PHYSICAL MODELLING
Physical modelling is a method of producing
physically correct motion for bodies in computer generated worlds,
such as a heavy object falling under the influence of gravity.
However, the actual implementation may take many varied forms. The
main aim of this proposal is to investigate the applicability of
genetic techniques to the production of physical models.
LAL-95-04
GENETIC ALGORITHM HARDNESS AND APPROXIMATION COMPLEXITY : A RESEARCH
(DOWNLOAD)
M.
LANKHORST PAPERS
MAINTAINING
DIVERSITY IN GENETIC SEARCH
Michael L. Mauldin Appeared in the the Proceedings
of the National Conference on Artificial Intelligence (AAAI-84),
August, 1984.
NEURAL
NETWORK USING GENETIC ALGORITHMS
In NNUGA, we are using GA to find the solution to
a classification problem with a neural network (NN).
NON-HIERARCHIC
DOCUMENT CLUSTERING USING A GENETIC ALGORITHM
Gareth Jones, Alexander M. Robertson, Chawchat
Santimetvirul and Peter Willett
PUBLICATIONS
OF THE ARTIFICIAL INTELLIGENCE RESEARCH GROUP
Artificial Intelligence Research Group Department
of Computer Science Iowa State University
PAPERS
BY MELANIE MITCHELL
The following is a list of many of my papers and
articles. Selecting a title will obtain an abstract and a link to the
full text. Some of the documents have been split into separate
sections for ease of printing. If you have trouble getting any of
these documents electronically, you can request a hard copy from
Deborah Smith (drs@santafe.edu), Santa Fe Institute, 1399 Hyde Park
Road, Santa Fe, NM, USA, 87501.
PAPERS
ON COEVOLUTION BY JAN PAREDIS
PATH
PLANNING USING GENETIC ALGORITHM
Nizam Ahmed
PEDERSEN
ABSTRACT
Jan Pedersen and John Moult CARB, University of
Maryland Biotechnology Institute, Rockville, MD 20850, USA.
Determination of the Structure of Small Protein Fragments using
Torsion Space Monte Carlo and Genetic Algorithm Methods.
RECENT
GENETIC ALGORITHM AND GENETIC PROGRAMMING RELATED PUBLICATIONS
SFI
EVCA PAPERS
The following is a list of our recent papers
related to evolving cellular automata with genetic algorithms.
Selecting a title will obtain an abstract of the paper.
SLIPPAGE
IN EVOLUTION
SEARCHING
FOR DIVERSE, COOPERATIVE POPULATIONS WITH GENETIC ALGORITHMS
Robert E. Smith, Stephanie Forrest, and Alan S.
Perelson
STEPPING
UP TROPHIC LEVELS WITH SELF-REPAIRING GENETIC ALGORITHM
By Yukihiko Toquenaga
USING
A GENETIC ALGORITHM TO LEARN PROTOTYPES FOR CASE RETRIEVAL AND
CLASSIFICATION
(DOWNLOAD)
USING
A GENETIC ALGORITHM TO ADAPT 1D NONLINEAR MATCHED SIEVES FOR PATTERN
CLASSIFICATION IN IMAGES
C. J. Pye, J. A. Bangham and R. Harvey IEE
colloqium on Genetic Algorithms in Image Processing and Vision, London
UK, October 1994
USING
A GENETIC ALGORITHM TO ADAPT 1D NON-LINEAR MATCHED SIEVES FOR PATTERN
CLASSIFICATION IN IMAGES
C. J. Pye and J. A. Bangham SPIE Nonlinear signal
processing symp., San Jose USA, Febuary 1995
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