Evolutionary algorithms and dynamic programming
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Anton V. Eremeev | Benjamin Doerr | Frank Neumann | Madeleine Theile | Christian Thyssen | Benjamin Doerr | F. Neumann | A. Eremeev | C. Thyssen | M. Theile
[1] Hans-Paul Schwefel,et al. How to analyse evolutionary algorithms , 2002, Theor. Comput. Sci..
[2] Carsten Witt,et al. Approximating Covering Problems by Randomized Search Heuristics Using Multi-Objective Models , 2007, Evolutionary Computation.
[3] Ingo Wegener,et al. The analysis of evolutionary algorithms on sorting and shortest paths problems , 2004, J. Math. Model. Algorithms.
[4] Marco Laumanns,et al. Running time analysis of a multi-objective evolutionary algorithm on a simple discrete optimization problem , 2002 .
[5] Frank Neumann,et al. Speeding Up Evolutionary Algorithms through Asymmetric Mutation Operators , 2007, Evolutionary Computation.
[6] David J. Sherratt. Mobile Genetic elements , 1995 .
[7] Madeleine Theile,et al. Exact Solutions to the Traveling Salesperson Problem by a Population-Based Evolutionary Algorithm , 2009, EvoCOP.
[8] Anne Auger,et al. Theory of Randomized Search Heuristics: Foundations and Recent Developments , 2011, Theory of Randomized Search Heuristics.
[9] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[10] Benjamin Doerr,et al. Improved analysis methods for crossover-based algorithms , 2009, GECCO.
[11] Gerhard J. Woeginger,et al. When Does a Dynamic Programming Formulation Guarantee the Existence of a Fully Polynomial Time Approximation Scheme (FPTAS)? , 2000, INFORMS J. Comput..
[12] Rolf Klötzler,et al. Multiobjective dynamic programming , 1978 .
[13] Giorgio Ausiello,et al. Local Search, Reducibility and Approximability of NP-Optimization Problems , 1995, Inf. Process. Lett..
[14] Frank Neumann,et al. Expected runtimes of evolutionary algorithms for the Eulerian cycle problem , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[15] R. Bellman. Dynamic programming. , 1957, Science.
[16] Martin Skutella,et al. Evolutionary Algorithms and Matroid Optimization Problems , 2007, GECCO '07.
[17] Anton V. Eremeev,et al. Evolutionary algorithms and dynamic programming , 2011, Theor. Comput. Sci..
[18] Rezaul Alan Chowdhury,et al. Cache-Oblivious Dynamic Programming for Bioinformatics , 2010, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[19] David S. Johnson,et al. Computers and Intractability: A Guide to the Theory of NP-Completeness , 1978 .
[20] P. B. Coaker,et al. Applied Dynamic Programming , 1964 .
[21] Chris N. Potts,et al. Scheduling with batching: A review , 2000, Eur. J. Oper. Res..
[22] Dr. Zbigniew Michalewicz,et al. How to Solve It: Modern Heuristics , 2004 .
[23] Mark Jerrum,et al. Polynomial-Time Approximation Algorithms for the Ising Model , 1990, SIAM J. Comput..
[24] M. Held,et al. A dynamic programming approach to sequencing problems , 1962, ACM National Meeting.
[25] Frank Neumann,et al. Randomized Local Search, Evolutionary Algorithms, and the Minimum Spanning Tree Problem , 2004, GECCO.
[26] Franz Rothlauf,et al. Representations for genetic and evolutionary algorithms , 2002, Studies in Fuzziness and Soft Computing.
[27] Benjamin Doerr,et al. Crossover can provably be useful in evolutionary computation , 2008, GECCO '08.
[28] Benjamin Doerr,et al. Faster Evolutionary Algorithms by Superior Graph Representation , 2007, 2007 IEEE Symposium on Foundations of Computational Intelligence.
[29] S. Kyes,et al. Variable var transition rates underlie antigenic variation in malaria. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[30] Ronald L. Rivest,et al. Introduction to Algorithms , 1990 .
[31] Frank Neumann,et al. Approximating Minimum Multicuts by Evolutionary Multi-objective Algorithms , 2008, PPSN.
[32] Frank Neumann,et al. Computing Minimum Cuts by Randomized Search Heuristics , 2008, GECCO '08.
[33] Clifford Stein,et al. Introduction to Algorithms, 2nd edition. , 2001 .
[34] A. E. Eiben,et al. Introduction to Evolutionary Computing , 2003, Natural Computing Series.
[35] Benjamin Doerr,et al. Adjacency list matchings: an ideal genotype for cycle covers , 2007, GECCO '07.
[36] Christian Horoba,et al. Analysis of a simple evolutionary algorithm for the multiobjective shortest path problem , 2009, FOGA '09.
[37] Frank Neumann,et al. How Crossover Speeds Up Evolutionary Algorithms for the Multi-criteria All-Pairs-Shortest-Path Problem , 2010, PPSN.
[38] Bryant A. Julstrom,et al. Edge sets: an effective evolutionary coding of spanning trees , 2003, IEEE Trans. Evol. Comput..
[39] Ingo Wegener,et al. Evolutionary Algorithms and the Maximum Matching Problem , 2003, STACS.
[40] Carsten Witt,et al. UNIVERSITY OF DORTMUND REIHE COMPUTATIONAL INTELLIGENCE COLLABORATIVE RESEARCH CENTER 531 Design and Management of Complex Technical Processes and Systems by means of Computational Intelligence Methods Worst-Case and Average-Case Approximations by Simple Randomized Search Heuristics , 2004 .
[41] L. G. Mitten. Composition Principles for Synthesis of Optimal Multistage Processes , 1964 .
[42] Gerhard J. Woeginger,et al. Approximation of the supply scheduling problem , 2005, Oper. Res. Lett..