On the Influence of Phenotype Plasticity on Genotype Diversity (2009)
Ingo Paenke, Jürgen Branke, Yaochu Jin
Abstract — A large body of research has investigated the advantages of combining phenotype adaptation and genotype adaptation. The hybridization of genetic search and local search methods, often...
Selection procedures are used in a variety of applications to select the best of a finite set of alternatives. Thereby ‘best ’ is defined with respect to the largest mean, but the mean is...
09181 Executive Summary -- Sampling-based Optimization in the Presence of Uncertainty (2009)
Branke, Jürgen, Nelson, Barry L., Powell, Warren Buckler, Santner, Thomas J.
This Dagstuhl seminar brought together researchers from statistical ranking and selection; experimental design and response-surface modeling; stochastic programming; approximate dynamic programming;...
09181 Abstracts Collection -- Sampling-based Optimization in the Presence of Uncertainty (2009)
Branke, Jürgen, Nelson, Barry L., Powell, Warren Buckler, Santner, Thomas J.
This Dagstuhl seminar brought together researchers from statistical ranking and selection; experimental design and response-surface modeling; stochastic programming; approximate dynamic programming;...
ACTUATED TRAFFIC SIGNAL OPTIMIZATION USING EVOLUTIONARY ALGORITHMS ABSTRACT (2008)
Jürgen Branke, Peter Goldate, Holger Prothmann
The optimization of traffic signal systems is an important step towards successful traffic control, since delays in urban road networks depend largely on the signal system's performance. Due to...
Ingo Pänke, Und Formale Beschreibungsverfahren, Referent Prof, Dr. Hartmut Schmeck, Betreuer Dr, ...
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S. G. Henderson, B. Biller, J. Shortle, J. D. Tew, R. R. Barton, ...
Statistical selection procedures can identify the best of a finite set of alternatives, where “best ” is defined in terms of the unknown expected value of each alternative’s simulation output....
Lam T. Bui, Jürgen Branke, Hussein A. Abbass, Lam T. Bui, Jürgen Branke, Hussein Abbass
Multi-objective optimization for dynamic environments
Multi-Objective Particle Swarm Optimization on Computer Grids (2008)
Sanaz Mostaghim, Jürgen Branke, Hartmut Schmeck
Abstract. In recent years, a number of authors have successfully extended particle swarm optimization to problem domains with multiple objectives. This paper addresses the issue of parallelizing...
Chick Selecting a Selection Procedure (2008)
Jürgen Branke, Stephen E. Chick, Christian Schmidt
1 There are a plethora of ranking and selection approaches
Searching for shortest common supersequences by means of a heuristic-based genetic algorithm. (2007)
06501 Abstracts Collection -- Practical Approaches to Multi-Objective Optimization (2007)
Branke, Jürgen, Deb, Kalyanmoy, Miettinen, Kaisa, Slowinski, Roman
From 10.12.06 to 15.12.06, the Dagstuhl Seminar 06501 ``Practical Approaches to Multi-Objective Optimization'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl....
Ingo Paenke, Jürgen Branke, Yaochu Jin, Senior Member
Abstract—For many real-world optimization problems, the robustness of a solution is of great importance in addition to the solution’s quality. By robustness, we mean that small deviations from...
Portfolio Selection: How to Integrate Complex Constraints (2005)
Michael Stein, Jürgen Branke, Hartmut Schmeck
For the standard Mean-Variance model for portfolio selection with linear constraints, there are several algorithms that can efficiently compute both a single point on the Pareto front and even the...
04461 Summary -- Practical Approaches to Multi-Criterion Optimization (2005)
Branke, Jürgen, Deb, Kalyanmoy, Miettinen, Kaisa, Steuer, Ralph E.
Summary of the Dagstuhl Seminar 04461. Motivation, proceedings, achievements and feedback, future seminars
04461 Abstracts Collection -- Practical Approaches to Multi-Objective Optimization (2005)
Branke, Jürgen, Kalyanmoy, Deb, Miettinen, Kaisa, Steuer, Ralph E.
From 07.11.04 to 12.11.04, the Dagstuhl Seminar 04461 ``Practical Approaches to Multi-Objective Optimization'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl....
Finding knees in multi-objective optimization (2004)
Jürgen Branke, Kalyanmoy Deb, Henning Dierolf, Matthias Osswald
Abstract. Many real-world optimization problems have several, usually conflicting objectives. Evolutionary multi-objective optimization usually solves this predicament by searching for the whole...
Efficient Fitness Estimation in Noisy Environments (2001)
Jürgen Branke, Christian Schmidt, Hartmut Schmec
In noisy environments, an individual's fitness cannot be evaluated precisely, but its tness has to be estimated. Evolutionary Algorithms are generally believed to be able to cope well with a...
Guiding Multi Objective Evolutionary Algorithms Towards Interesting Regions (2000)
Jürgen Branke, Thomas Kaußler, Hartmut Schmeck
Many real world design problems involve multiple, usually conicting optimization criteria. Often, it is very difficult to weigh the criteria exactly before alternatives are known. Multi-Objective...
Evolutionary Approaches to Dynamic Optimization Problems - A Survey - (1999)
If the optimization problem is dynamic, the goal is no longer to find the extrema, but to track their progression through the space as closely as possible. This paper surveys the techniques that have...
Searching for shortest common supersequences by means of a heuristic-based genetic algorithm. (1996)
Using Genetic Algorithms for Drawing Undirected Graphs (1996)
Jürgen Branke, Frank Bucher, Hartmut Schmeck
In this paper we report on our experiences with applying genetic algorithms to the drawing of undirected graphs with straight line edges. Since there exists a relatively simple but powerful heuristic...
Searching for Shortest Common Supersequences (1996)
Jürgen Branke, Martin Middendorf
The Shortest Common Supersequence (SCS) problem is a classical problem from stringology which has applications e.g. in Arti cial Intelligence (speci cally planning), mechanical engineering and data...
Guidance in Evolutionary Multi-Objective Optimization
Jürgen Branke, Thomas Kaußler, Hartmut Schmeck
Many real world design problems involve multiple, usually conflicting optimization criteria. Often, it is very difficult to weight the criteria exactly before alternatives are known. MultiObjective...
Global Selection Methods for SIMD Computers
Jürgen Branke, Hans Christian Andersen, Hartmut Schmeck
In this paper, the parallel implementation of various selection operators in evolutionary algorithms on SIMD (Single-Instruction-Multiple-Data) computers is treated. Novel parallel versions of...