Gift Guide

Simulated Evolution and Learning: Second Asia-Pacific Conference on Simulated Evolution and Learning, SEAL'98, Canberra, Australia, November 24-27, 1998 Selected Papers / Edition 1

Paperback (Print)
Used and New from Other Sellers
Used and New from Other Sellers
from $7.00
Usually ships in 1-2 business days
(Save 94%)
Other sellers (Paperback)
  • All (8) from $7.00   
  • New (5) from $48.15   
  • Used (3) from $7.00   


This book constitutes the refereed post-workshop proceedings of the Second Asia-Pacific Conference on Simulated Evolution and Learning, SEAL '98, held in Canberra, Australia in November 1998.
The 59 revised papers presented were carefully selected during two rounds of reviewing from a total of initially 92 submissions. The book covers a wide range of topics in simulated evolution and learning, from self-adaption to dynamic modelling, from reinforcement learning to agent systems, from evolutionary games to evolutionary economics, from theoretical results to successful applications, etc.

Read More Show Less

Product Details

Table of Contents

Natural Computation 1
Multiple Lagrange Multiplier Method for Constrained Evolutionary Optimization 2
Robust Evolution Strategies 10
Hybrid Genetic Algorithm for Solving the p-Median Problem 18
Correction of Reflection Lines Using Genetic Algorithms 26
Adaptation under Changing Environments with Various Rates of Inheritance of Acquired Characters: Comparison between Darwinian and Lamarckian Evolution 34
Dynamic Control of Adaptive Parameters in Evolutionary Programming 42
Information Operator Scheduling by Genetic Algorithms 50
Solving-Radial Topology Constrained Problems with Evolutionary Algorithms 58
Automating Space Allocation in Higher Education 66
Application of Genetic Algorithm and k-Nearest Neighbour Method in Medical Fraud Detection 74
Evolution of Reference Sets in Nearest Neighbor Classification 82
Investigation of a Cellular Genetic Algorithm that Mimies Landscape Ecology 90
Quantifying Neighborhood Preservation: Joint Properties of Evolutionary and Unsupervised Neural Learning 98
Neural Networks and Evolutionary Algorithms for the Prediction of Thermodynamic Properties for Chemical Engineering 106
Evolving FPGA Based Cellular Automata 114
Asynchronous Island Parallel GA Using Multiform Subpopulations 122
Multiple Sequence Alignment using Parallel Genetic Algorithms 130
Evolving Logic Programs to Classify Chess-Endgame Positions 138
Genetic Programming with Active Data Selection 146
Evolutionary Programming-Based Uni-vector Field Method for Fast Mobile Robot Navigation 154
Evolution with Learning Adaptive Functions 162
Modelling Plant Breeding Programs as Search Strategies on a Complex Response Surface 171
Generating Equations with Genetic Programming for Control of a Movable Inverted Pendulum 179
A Hybrid Tabu Search Algorithm for the Nurse Rostering Problem 187
Reinforcement Learning: Past, Present and Future 195
A Reinforcement Learning with Condition Reduced Fuzz Rules 198
Generality and Conciseness of Submodels in Hierarchical Fuzzy Modeling 206
Using Evolutionary Programming to Optimize the Allocation of Surveillance Assets 215
Applying the Evolutionary Neural Networks with Genetic Algorithms to Control a Rolling Inverted Pendulum 223
Evolving Cooperative Actions Among Heterogeneous Agents by an Evolutionary Programming Method 231
Cooperative Works for Welfare Agent Robot and Human Using Chaotic Evolutionary Computation 240
Evolutionary Computation for Intelligent Agents Based on Chaotic Retrieval and Soft DNA 251
A Study of Bayesian Clustering of a Document Set Based on GA 260
An Evolutionary Approach in Quantitative Spectroscopy 268
Evolutionary Recognition of Features from CAD Data 276
Modeling Strategies as Generous and Greedy in Prisoner's Dilemma Like Games 285
Using Genetic Algorithms to Simulate the Evolution of an Oligopoly Game 293
An Evolutionary Study on Cooperation in N-person Iterated Prisoner's Dilemma Game 301
Simulating a N-person Multi-stage Game for Making a State 309
Learning from Linguistic Rules and Rule Extraction for Function Approximation by Neural Networks 317
Can a Niching Method Locate Multiple Attractors Embedded in the Hopfield Network? 325
Time Series Prediction by Using Negatively Correlated Neural Networks 333
Animating the Evolution Process of Genetic Algorithms 341
Analysis on the Island Model Parallel Genetic Algorithms for the Genetic Drifts 349
A Paradox of Neural Encoders and Decoders or Why Don't We Talk Backwards? 357
Continuous Optimization Using Elite Genetic Algorithms With Adaptive Mutations 365
Evolutionary Systems Applied to the Synthesis of a CPU Controller 373
Novel Models in Evolutionary Designing 381
Co-evolution, Determinism and Robustness 389
Co-operative Evolution of a Neural Classifier and Feature Subset 397
Optimal Power Flow Method Using Evolutionary Programming 405
Grammatical Development of Evolutionary Modular Neural Networks 413
Hybridized Neural Network and Genetic Algorithms for Solving Nonlinear Integer Programming Problem 421
Evolution of Gene Coordination Networks 430
Adaptive Simulation: An Implementation Framework 438
A Model of Mutual Associative Memory for Simulations of Evolution and Learning 446
The Application of Cellular Automata to the Consumer's Theory: Simulating a Duopolistic Market 454
Object-oriented Genetic Algorithm based Artificial Neural Network for Load Forecasting 462
Author Index 471
Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star


4 Star


3 Star


2 Star


1 Star


Your Rating:

Your Name: Create a Pen Name or

Barnes & Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation


  • - By submitting a review, you grant to Barnes & and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Terms of Use.
  • - Barnes & reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)