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2003 004

A Survey of Hybrid Genetic and Evolutionary Algorithms

Sinha, A., Goldberg, D. E. (2003)
TR No.: 2003004 | Download PDF | Download PS

Abstract:
Hybrids of genetic and evolutionary algorithms with other methods have drawn much attention over the past decade. We present an overview of the developments in the theory and practice of genetic and evolutionary algorithm hybrids. Motivation for such hybrids is highlighted and a taxonomy is proposed. A summary of applications of these hybrids indicating […]

2003 017

Distributed Innovation and Scalable Collaboration In Uncertain Settings

Goldberg, D. E., Welge, M., Llorà, X. (2003)
TR No.: 2003017 | Download PDF | Download PS

Abstract:
A key challenge facing modern organizations and their leaders is the need for rapid innovation in response to complex circumstances and rapidly
changing events. The modern organization may have vast amounts of data, knowledge, and expertise to address problems and opportunities at hand, but the sheer quantity, uncertainty, and spatial distribution of those resources may […]

2003 018

Evolutionary Weight Tuning for Unit Selection Based on Diphone Pairs

Francesc Alías and Xavier LlorĂ  (2003)
TR No.: 2003018 | Download PDF | Download PS

Abstract:
Unit selection text-to-speech (TTS) conversion is an ongoing research for the speech synthesis community. This paper is focused on tuning the weights involved in the target and concatenation cost metrics. We propose a method for automatically adjusting these weights simultaneously by means of diphone and triphone pairs. This method is based on techniques provided by […]

2003 015

On the Optimal Communication Spanning Tree Problem

Rothlauf, F., Gerstacker, J., Heinzl A. (2003)
TR No.: 2003015 | Download PDF | Download PS

Abstract:
This paper presents an investigation into the properties of the optimal communication spanning tree (OCST) problem. The OCST problem finds a spanning tree that connects all nodes and satisfies their communication requirements for a minimum total cost. The paper compares the properties of randomly created solutions to the best solutions that are found using […]

2003 016

Multiple-deme Parallel Estimation of Distribution Algorithms: Basic Framework and Application

Ahn, C.-W., Goldberg, D. E., Ramakrishna, R. S. (2003)
TR No.: 2003016 | Download PDF | Download PS

Abstract:
This paper presents a basic framework that facilitates the development of new multiple-deme parallel estimation of distribution algorithms (PEDAs). The aim is to carry over the migration effect that arises in multiple-deme parallel genetic
algorithms (PGAs) into probability distribution of EDAs. The idea is to employ two probability vectors (PVs): one each for resident and immigrant
candidates. […]

2003 014

Genetic Programming for Multi-Timescale Modeling

Sastry, K. Johnson, D. D., Goldberg, D. E., Bellon, P. (2003)
TR No.: 2003014 | Download PDF | Download PS

Abstract:
A bottleneck for multi-timescale modeling is the computation of activation
energies (or potential energy surface, PES). We explore the use of genetic
programming (GP)—a genetic algorithm that evolves computer programs—to perform symbolic regression to create a local mapping of the activation energy for any possible configuration, thereby avoiding explicit calculation of the entire PES. To exemplify the […]

2003 013

Probabilistic Model Building and Competent Genetic Programming

Sastry, K., Goldberg, D. E. (2003)
TR No.: 2003013 | Download PDF | Download PS

Abstract:
This paper describes a probabilistic model building genetic programming (PMBGP) developed based on the extended compact genetic algorithm (eCGA). Unlike traditional genetic programming, which use fixed recombination operators, the proposed PMBGA adapts linkages. The proposed algorithms, called the extended compact genetic programming (eCGP) adaptively identifies and exchanges non-overlapping building blocks by constructing and sampling probabilistic […]

2003 012

Building-Block Supply in Genetic Programming

Sastry, K. O'Reilly, U.-M., Goldberg, D. E., Hill, D. J. (2003)
TR No.: 2003012 | Download PDF | Download PS

Abstract:
This paper analyzes building block supply in the initial population for genetic programming. Facetwise models for the supply of a single schema as well as for the supply of all schemas in a partition are developed. An estimate for the population size, given the size (or size distribution) of trees, that ensures the presence of […]

2003 011

Bounding the effect of noise in Multiobjective Learning Classifier Systems

Llorà, X., Goldberg, D. E. (2003)
TR No.: 2003011 | Download PDF | Download PS

Abstract:
This paper analyzes the impact of using noisy data sets in Pittsburgh-style learning classifier systems. This study was done using a particular kind of learning classifier system based on multiobjective selection. Our goal was to characterize the behavior of this kind of algorithms when dealing with noisy domains. For this reason, we developed a […]

2003 010

Genetic Algorithms at the University of Illinois Fall 2002

Goldberg, D. E. (ed.) (2003)
TR No.: 2003010 | Download PDF | Download PS

Abstract:
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