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 PapersAuthor: Bob McKay, Xin Yao, Charles S. Newton, Jong-Hwan Kim, Takeshi Furuhashi Published by Springer Berlin Heidelberg ISBN: 978-3-540-65907-5 DOI: 10.1007/3-540-48873-1Table 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