Introduction to Evolutionary Algorithms (2008)
Evolutionary Algorithms (EA) consist of several heuristics, which are able to solve optimisation tasks by imitating some aspects of natural evolution. They may use different levels of abstraction,...
An Automatic Approach to Online Color Training in RoboCup Environments (2008)
Patrick Heinemann, Frank Sehnke, Felix Streichert, Andreas Zell
Abstract — Many approaches for extracting landmarks and objects from a camera image based on their color coding were published in the RoboCup domain. They are quite sophisticated and tuned to the...
Optimization by Gaussian Processes assisted Evolution Strategies (2007)
Holger Ulmer, Felix Streichert, Andreas Zell
Abstract. Evolutionary Algorithms (EA) are excellent optimization tools for complex high-dimensional multimodal problems. However, they require a very large number of problem function evaluations. In...
Comparing genetic programming and evolution strategies on inferring gene regulatory networks (2007)
Felix Streichert, Hannes Planatscher, Christian Spieth, Holger Ulmer, Andreas Zell
Abstract. In recent years several strategies for inferring gene regulatory networks from observed time series data of gene expression have been suggested based on Evolutionary Algorithms. But often...
Automatic Calibration of Camera to World Mapping in RoboCup uing Evolutionary Algorithms (2006)
Patrick Heinemann, Felix Streichert, Frank Sehnke, Andreas Zell
Abstract — A common practical problem in mobile robotics is the task to calibrate the robot’s sensors. Although, the general mapping of the sensor data to robot-centered world coordinates is...
Towards a Calibration-Free Robot: The ACT Algorithm for Automatic Online Color Training (2006)
Patrick Heinemann, Frank Sehnke, Felix Streichert, Andreas Zell
Abstract. Many approaches for object detection based on color coding were published in the RoboCup domain. They are tuned to the typical RoboCup scenario of constant lighting using a static...
JavaEvA : a Java based framework for Evolutionary Algorithms (2005)
Streichert, Felix, Ulmer, Holger
Das Softwarepaket JavaEvA (eine Java Implementierung Evolutionärer Algorithmen) ist ein allgemeines modulares Framework für Optimierungsalgorithmen basierend auf einer Client-Server Architektur,...
Clustering-based Approach to Identify Solutions for the Inference of Regulatory Networks (2005)
Christian Spieth, Felix Streichert, Nora Speer, Andreas Zell
In this paper we address the problem of finding valid solutions for the problem of inferring gene regulatory networks. Different approaches to directly infer the dependencies of gene regulatory...
Identifying Valid Solutions for the Inference of Regulatory Networks (2005)
Christian Spieth, Felix Streichert, Andreas Zell, Nora Speer
In this paper, we address the problem of finding gene regulatory networks from experimental DNA microarray data. The problem often is multi-modal and therefore appropriate optimization strategies...
Multiobjective model optimization for inferring gene regulatory networks (2005)
Christian Spieth, Felix Streichert, Nora Speer, Andreas Zell
Abstract. With the invention of microarray technology, researchers are able to measure the expression levels of ten thousands of genes in parallel at various time points of a biological process. The...
Parallelization of Multiobjective Evolutionary Algorithms Using Clustering Algorithms (2005)
Felix Streichert, Holger Ulmer, Andreas Zell
schemes are both well established and easy to implement, this is not the case for Multi-Objective Evolutionary Algorithms (MOEAs). Nevertheless, the need for parallelizing MOEAs arises in many...
JavaEvA A Java based framework for Evolutionary Algorithms- Manual and Documentation- (2005)
Felix Streichert, Holger Ulmer
The package JavaEvA (a Java implementation of Evolutionary Algorithms) is a general modular framework with an inherent client server structure to solve practical optimization problems. This package...
Hybrid Representations for Composition Optimization and Parallelizing MOEAs (2005)
Streichert, Felix, Ulmer, Holger, Zell, Andreas
We present a hybrid EA representation suitable to optimize composition optimization problems ranging from optimizing recipes for catalytic materials to cardinality constrained portfolio selection. On...
Comparing discrete and continuous genotypes on the constrained portfolio selection problem (2004)
Felix Streichert, Holger Ulmer, Andreas Zell
Abstract. In financial engineering the problem of portfolio selection has drawn much attention in the last decades. But still unsolved problems remain, while on the one hand the type of model to use...
How to evolve the head-tail pattern from Reaction–diffusion systems (2004)
Felix Streichert, Christian Spieth, Holger Ulmer, Andreas Zell
The possible application of evolving artificial embryos to build functional machinery is a promising area of research. Unfortunately, there are still many fundamental problems to be solved before...
Iteratively inferring gene regulatory networks with virtual knockout experiments (2004)
Christian Spieth, Felix Streichert, Nora Speer, Andreas Zell
Abstract. In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We introduce enhancements to an Evolutionary Algorithm optimization process...
Christian Spieth, Felix Streichert, Nora Speer, Andreas Zell
Abstract — In this paper we address the problem of finding gene regulatory networks from artificial data sets of DNA microarray experiments. Some researchers suggested Evolutionary Algorithms for...
A memetic inference method for gene regulatory networks based on s-systems (2004)
Christian Spieth, Felix Streichert, Nora Speer, Andreas Zell
Abstract — In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. As underlying mathematical model we used S-Systems, a quantitative model,...
Christian Spieth, Felix Streichert, Nora Speer, Andreas Zell
Abstract. In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. Different approaches to infer the dependencies of gene regulatory networks by...
Evolving the ability of limited growth and self-repair for artificial embryos (2003)
Felix Streichert, Christian Spieth, Holger Ulmer, Andreas Zell
Abstract. In this paper we address the problem of limited growth and the difficulty of self-repair in the field of Artificial Embryology. We implemented a topological simulation of multiple cells...
Evolutionary algorithms and the cardinality constrained portfolio selection problem (2003)
Felix Streichert, Holger Ulmer, Andreas Zell
Abstract. While the unconstrained portfolio optimization problem can be solved efficiently by standard algorithms, this is not the case for the portfolio optimization problem with additional real...
Evolutionary algorithms and the cardinality constrained portfolio selection problem (2003)
Felix Streichert, Holger Ulmer, Andreas Zell
Abstract. While the unconstrained portfolio optimization problem can be solved efficiently by standard algorithms, this is not the case for the portfolio optimization problem with additional real...
A clustering based niching ea for multimodal search spaces (2003)
Felix Streichert, Gunnar Stein, Holger Ulmer, Andreas Zell
Abstract. We propose a new niching method for Evolutionary Algorithms which is able to identify and track global and local optima in a multimodal search space. To prevent the loss of diversity we...
Evolution strategies assisted by gaussian processes with improved pre-selection criterion (2003)
Holger Ulmer, Felix Streichert, Andreas Zell
the number of fitness function evaluations is limited by time and cost. These problems pose a special challenge to the field of evolutionary computation, since existing evolutionary methods require a...
A clustering based niching method for evolutionary algorithms (2003)
Felix Streichert, Gunnar Stein, Holger Ulmer, Andreas Zell
We propose the Clustering Based Niching (CBN) method for Evolutionary Algorithms (EA) to identify multiple global and local optima in a multimodal search space. The basic idea is to apply the...
A clustering based niching method for evolutionary algorithms (2003)
Felix Streichert, Gunnar Stein, Holger Ulmer, Andreas Zell
We propose the Clustering Based Niching (CBN) method for Evolutionary Algorithms (EA) to identify multiple global and local optima in a multimodal search space. The basic idea is to apply the...