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GECCO
2004
Springer
145views Optimization» more  GECCO 2004»
8 years 9 months ago
Search Based Automatic Test-Data Generation at an Architectural Level
Abstract. The need for effective testing techniques for architectural level descriptions is widely recognised. However, due to the variety of domain-specific architectural descript...
Yuan Zhan, John A. Clark
GECCO
2004
Springer
120views Optimization» more  GECCO 2004»
8 years 9 months ago
Populating Genomes in a Dynamic Grid
Han Yu, Ning Jiang, Annie S. Wu
GECCO
2004
Springer
115views Optimization» more  GECCO 2004»
8 years 9 months ago
An Evolutionary Approach with Pharmacophore-Based Scoring Functions for Virtual Database Screening
We have developed a new tool for virtual database screening. This tool, referred to as the Generic Evolutionary Method for molecular DOCKing (GEMDOCK), combines an evolutionary app...
Jinn-Moon Yang, Tsai-Wei Shen, Yen-Fu Chen, Yi-Yua...
GECCO
2004
Springer
8 years 9 months ago
Program Evolution by Integrating EDP and GP
This paper discusses the performance of a hybrid system which consists of EDP and GP. EDP, Estimation of Distribution Programming, is the program evolution method based on the prob...
Kohsuke Yanai, Hitoshi Iba
GECCO
2004
Springer
104views Optimization» more  GECCO 2004»
8 years 9 months ago
SWAF: Swarm Algorithm Framework for Numerical Optimization
A swarm algorithm framework (SWAF), realized by agent-based modeling, is presented to solve numerical optimization problems. Each agent is a bare bones cognitive architecture, whic...
Xiao-Feng Xie, Wenjun Zhang
GECCO
2004
Springer
125views Optimization» more  GECCO 2004»
8 years 9 months ago
An Evolutionary Algorithm for Parameters Identification in Parabolic Systems
Zhijian Wu, Zhilong Tang, Jun Zou, Lishan Kang, Mi...
GECCO
2004
Springer
145views Optimization» more  GECCO 2004»
8 years 9 months ago
An Estimation of Distribution Algorithm Based on Maximum Entropy
Estimation of distribution algorithms (EDA) are similar to genetic algorithms except that they replace crossover and mutation with sampling from an estimated probability distributi...
Alden H. Wright, Riccardo Poli, Christopher R. Ste...
GECCO
2004
Springer
117views Optimization» more  GECCO 2004»
8 years 9 months ago
Bistability of the Needle Function in the Presence of Truncation Selection
It is possible for a GA to have two stable fixed points on a single-peak fitness landscape. These can correspond to meta-stable finite populations. This phenomenon is called bis...
Alden H. Wright, Greg Cripe
GECCO
2004
Springer
130views Optimization» more  GECCO 2004»
8 years 9 months ago
The Shifting Balance Genetic Algorithm as More than Just Another Island Model GA
The Shifting Balance Genetic Algorithm (SBGA) is an extension of the Genetic Algorithm (GA) that was created to promote guided diversity to improve performance in highly multimodal...
Mark Wineberg, Jun Chen
GECCO
2004
Springer
8 years 9 months ago
Non-stationary Subtasks Can Improve Diversity in Stationary Tasks
Low diversity in a genetic algorithm (GA) can cause the search to become stagnant upon reaching a local optimum. To some extent, non-stationary tasks avoid this problem, which woul...
Christopher Willis-Ford, Terence Soule
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