User profiles for Jürgen Branke

Juergen Branke

Professor of Operational Research and Systems, Warwick Business School
Verified email at wbs.ac.uk
Cited by 20692

[BOOK][B] Multiobjective optimization: Interactive and evolutionary approaches

J Branke - 2008 - books.google.com
Multiobjective optimization deals with solving problems having not only one, but multiple,
often conflicting, criteria. Such problems can arise in practically every field of science, …

[BOOK][B] Evolutionary optimization in dynamic environments

J Branke - 2012 - books.google.com
Evolutionary Algorithms (EAs) have grown into a mature field of research in optimization,
and have proven to be effective and robust problem solvers for a broad range of static real-…

A multi-population approach to dynamic optimization problems

J Branke, T Kaußler, C Smidt, H Schmeck - Evolutionary Design and …, 2000 - Springer
Time-dependent optimization problems pose a new challenge to evolutionary algorithms,
since they not only require a search for the optimum, but also a continuous tracking of the …

Integrating user preferences into evolutionary multi-objective optimization

J Branke, K Deb - Knowledge incorporation in evolutionary computation, 2005 - Springer
Many real-world optimization problems involve multiple, typically conflicting objectives. Often,
it is very difficult to weigh the different criteria exactly before alternatives are known. …

Learning value functions in interactive evolutionary multiobjective optimization

J Branke, S Greco, R Słowiński… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
This paper proposes an interactive multiobjective evolutionary algorithm (MOEA) that attempts
to learn a value function capturing the users' true preferences. At regular intervals, the …

Evolutionary optimization in uncertain environments-a survey

Y Jin, J Branke - IEEE Transactions on evolutionary …, 2005 - ieeexplore.ieee.org
Evolutionary algorithms often have to solve optimization problems in the presence of a wide
range of uncertainties. Generally, uncertainties in evolutionary computation can be divided …

Memory enhanced evolutionary algorithms for changing optimization problems

J Branke - Proceedings of the 1999 Congress on Evolutionary …, 1999 - ieeexplore.ieee.org
Recently, there has been increased interest in evolutionary computation applied to changing
optimization problems. The paper surveys a number of approaches that extend the …

Finding knees in multi-objective optimization

J Branke, K Deb, H Dierolf, M Osswald - Parallel Problem Solving from …, 2004 - Springer
Many real-world optimization problems have several, usually conflicting objectives. Evolutionary
multi-objective optimization usually solves this predicament by searching for the whole …

Multiswarms, exclusion, and anti-convergence in dynamic environments

T Blackwell, J Branke - IEEE transactions on evolutionary …, 2006 - ieeexplore.ieee.org
Many real-world problems are dynamic, requiring an optimization algorithm which is able to
continuously track a changing optimum over time. In this paper, we explore new variants of …

Multi-swarm optimization in dynamic environments

T Blackwell, J Branke - Workshops on applications of evolutionary …, 2004 - Springer
Many real-world problems are dynamic, requiring an optimization algorithm which is able to
continuously track a changing optimum over time. In this paper, we present new variants of …