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- Genetic Algorithms for Binary Quadratic Programming Peter Merz and Bernd Freisleben
- Memetic Algorithms for the Traveling Salesman Problem
- Technische Universitt Kaiserslautern Fachbereich Informatik Interner Bericht 331/04
- Fitness Landscapes and Memetic Algorithm Design
- Analysis of Gene Expression Pro les: An Application of Memetic Algorithms to the
- MIC 2007: The Seventh Metaheuristics International Conference ??-1 Improved Local Search for Large Optimum Communication
- A Distributed Range Assignment Protocol Steffen Wolf, Tom Ansay, and Peter Merz
- In C. Cotta and J. van Hemert, editors, EvoCOP 2008 8th European Conference on Evolutionary Computation in Combinatorial Optimisation. Springer-Verlag, March 2008.
- In Bartz-Beielstein et al., editors, HM 2007, 4th International Workshop on Hybrid Metaheuristcs, October 2007. A Memetic Algorithm for the Optimum
- To appear in: Bartz-Beielstein et al., editors, HM 2007, 4th International Workshop on Hybrid Metaheuristcs. Lecture Notes in Computer Science, Springer, October 2007.
- MIC 2007: The Seventh Metaheuristics International Conference ??-1 A Memetic Algorithm for Large Traveling Salesman Problem
- In C. Cotta and J. van Hemert, editors, EvoCOP 2007 Seventh European Conference on Evolutionary Computation in Combinatorial Optimisation, volume 4446 of Lecture Notes In Computer Science,
- A Hybrid Method for Solving Large-Scale Supply Chain Problems
- TreeOpt: Self-Organizing, Evolving P2P Overlay Topologies Based On Spanning Trees
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- MIC2005: The Sixth Metaheuristics International Conference ??-1 An Analysis of the Hardness of TSP Instances for Two
- Efficient Broadcast in P2P Grids Peter Merz, Katja Gorunova
- In Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), Denver, CO, USA. April 2005. IEEE Computer Society Press. A Distributed Chained Lin-Kernighan Algorithm for TSP Problems
- Dynamic Integration of Heterogeneous Mobile Devices Christian Bartelt, Thomas Fischer, Dirk Niebuhr,
- On the Complexity of the Uncapacitated Single Allocation p-Hub Median Problem with Equal
- Memetic Algorithms and the Fitness Landscape of the Graph Bi--Partitioning Problem
- A Genetic Local Search Approach to the Quadratic Assignment Problem Peter Merz and Bernd Freisleben
- Two physically motivated algorithms for combinatorial optimization: thermal cycling and
- Greedy and Local Search Heuristics for Unconstrained Binary Quadratic Programming
- An Iterated Local Search Approach for Minimum Sum-Of-Squares Clustering
- Technische Universitt Kaiserslautern Fachbereich Informatik Interner Bericht 337/05
- On the Effectiveness of Evolutionary Search in High--Dimensional NK--Landscapes
- New Genetic Local Search Operators for the Traveling Salesman Problem
- Fitness Landscapes, Memetic Algorithms, and Greedy Operators for Graph Bipartitioning
- Evolution Strategy with Neighborhood Attraction Using a Neural Gas Approach
- Genetic Local Search for the TSP: New Results Peter Merz and Bernd Freisleben
- A Comparison of Memetic Recombination Operators for the Traveling Salesman Problem
- Evolutionary Local Search for Designing Peer-to-Peer Overlay Topologies based on
- A Genetic Local Search Algorithm for Solving Symmetric and Asymmetric Traveling Salesman
- Evolutionary Local Search for the Minimum Energy Broadcast Problem
- Memetic Algorithms for the Unconstrained Binary Quadratic Programming Problem
- Iterated Local Search for Minimum Power Symmetric Connectivity in Wireless Networks
- On the Performance of Memetic Algorithms in Combinatorial Optimization
- Clustering Gene Expression Data with Memetic Algorithms based on Minimum Spanning Trees
- Advanced Fitness Landscape Analysis and the Performance of Memetic Algorithms
- A Comparison of Memetic Algorithms, Tabu Search, and Ant Colonies for the Quadratic Assignment Problem
- Clustering Gene Expression Pro les with Memetic Algorithms
- NK-Fitness Landscapes and Memetic Algorithms with Greedy Operators and k-opt
- condmat/9902034 Combinatorial Optimization by Iterative Partial Transcription
- Optimization by Probabilistic Modeling Combined with Local Search
- Fitness Landscape Analysis and Memetic Algorithms for the
