Simulated evolution and learning

Simulated Evolution and Learning: Second Asia-Pacific Conference on Simulated Evolution and Learning, SEAL’98 Canberra, Australia, November 24–27, 1998 Selected Papers
Author: Bob McKay, Xin Yao, Charles S. Newton, Jong-Hwan Kim, Takeshi Furuhashi
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-65907-5
DOI: 10.1007/3-540-48873-1

Table of Contents:

• Natural Computation
• Multiple Lagrange Multiplier Method for Constrained Evolutionary Optimization
• Robust Evolution Strategies
• Hybrid Genetic Algorithm for Solving the p-Median Problem
• Correction of Reflection Lines Using Genetic Algorithms
• Adaptation under Changing Environments with Various Rates of Inheritance of Acquired Characters
• Dynamic Control of Adaptive Parameters in Evolutionary Programming
• Information Operator Scheduling by Genetic Algorithms
• Solving Radial Topology Constrained Problems with Evolutionary Algorithms
• Automating Space Allocation in Higher Education
• Application of Genetic Algorithm and k-Nearest Neighbour Method in Medical Fraud Detection
• Evolution of Reference Sets in Nearest Neighbor Classification
• Investigation of a Cellular Genetic Algorithm that Mimics Landscape Ecology
• Quantifying Neighborhood Preservation: Joint Properties of Evolutionary and Unsupervised Neural Learning
• Neural Networks and Evolutionary Algorithms for the Prediction of Thermodynamic Properties for Chemical Engineering
• Evolving FPGA Based Cellular Automata
• Asynchronous Island Parallel GA Using Multiform Subpopulations
• Multiple Sequence Alignment Using Parallel Genetic Algorithms
• Evolving Logic Programs to Classify Chess-Endgame Positions
• Genetic Programming with Active Data Selection