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Conferences in DBLP

Parallel Problem Solving from Nature (PPSN) (ppsn)
2010 (conf/ppsn/2010-1)


  1. Optimal Fixed and Adaptive Mutation Rates for the LeadingOnes Problem. [Citation Graph (, )][DBLP]


  2. Mirrored Sampling and Sequential Selection for Evolution Strategies. [Citation Graph (, )][DBLP]


  3. Optimisation and Generalisation: Footprints in Instance Space. [Citation Graph (, )][DBLP]


  4. Adaptive Drift Analysis. [Citation Graph (, )][DBLP]


  5. Optimizing Monotone Functions Can Be Difficult. [Citation Graph (, )][DBLP]


  6. Log-Linear Convergence of the Scale-Invariant (µ/µw, lambda)-ES and Optimal µ for Intermediate Recombination for Large Population Sizes. [Citation Graph (, )][DBLP]


  7. Exploiting Overlap When Searching for Robust Optima. [Citation Graph (, )][DBLP]


  8. Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis. [Citation Graph (, )][DBLP]


  9. One-Point Geometric Crossover. [Citation Graph (, )][DBLP]


  10. When Does Dependency Modelling Help? Using a Randomized Landscape Generator to Compare Algorithms in Terms of Problem Structure. [Citation Graph (, )][DBLP]


  11. First-Improvement vs. Best-Improvement Local Optima Networks of NK Landscapes. [Citation Graph (, )][DBLP]


  12. Differential Mutation Based on Population Covariance Matrix. [Citation Graph (, )][DBLP]


  13. General Lower Bounds for the Running Time of Evolutionary Algorithms. [Citation Graph (, )][DBLP]


  14. A Binary Encoding Supporting Both Mutation and Recombination. [Citation Graph (, )][DBLP]


  15. Towards Analyzing Recombination Operators in Evolutionary Search. [Citation Graph (, )][DBLP]


  16. Bidirectional Relation between CMA Evolution Strategies and Natural Evolution Strategies. [Citation Graph (, )][DBLP]


  17. A Fine-Grained View of GP Locality with Binary Decision Diagrams as Ant Phenotypes. [Citation Graph (, )][DBLP]


  18. Drift Analysis with Tail Bounds. [Citation Graph (, )][DBLP]


  19. More Effective Crossover Operators for the All-Pairs Shortest Path Problem. [Citation Graph (, )][DBLP]


  20. Comparison-Based Adaptive Strategy Selection with Bandits in Differential Evolution. [Citation Graph (, )][DBLP]


  21. Fixed Parameter Evolutionary Algorithms and Maximum Leaf Spanning Trees: A Matter of Mutation. [Citation Graph (, )][DBLP]


  22. An Archive Maintenance Scheme for Finding Robust Solutions. [Citation Graph (, )][DBLP]


  23. Experimental Supplements to the Theoretical Analysis of Migration in the Island Model. [Citation Graph (, )][DBLP]


  24. General Scheme for Analyzing Running Times of Parallel Evolutionary Algorithms. [Citation Graph (, )][DBLP]


  25. Negative Drift in Populations. [Citation Graph (, )][DBLP]


  26. Log(lambda) Modifications for Optimal Parallelism. [Citation Graph (, )][DBLP]


  27. The Linkage Tree Genetic Algorithm. [Citation Graph (, )][DBLP]


  28. An Analysis of the XOR Dynamic Problem Generator Based on the Dynamical System. [Citation Graph (, )][DBLP]


  29. The Role of Degenerate Robustness in the Evolvability of Multi-agent Systems in Dynamic Environments. [Citation Graph (, )][DBLP]


  30. Evolutionary Learning of Technical Trading Rules without Data-Mining Bias. [Citation Graph (, )][DBLP]


  31. Using Computational Intelligence to Identify Performance Bottlenecks in a Computer System. [Citation Graph (, )][DBLP]


  32. Selecting Small Audio Feature Sets in Music Classification by Means of Asymmetric Mutation. [Citation Graph (, )][DBLP]


  33. Globally Induced Model Trees: An Evolutionary Approach. [Citation Graph (, )][DBLP]


  34. Open-Ended Evolutionary Robotics: An Information Theoretic Approach. [Citation Graph (, )][DBLP]


  35. A Novel Similarity-Based Crossover for Artificial Neural Network Evolution. [Citation Graph (, )][DBLP]


  36. Indirect Encoding of Neural Networks for Scalable Go. [Citation Graph (, )][DBLP]


  37. Comparison-Based Optimizers Need Comparison-Based Surrogates. [Citation Graph (, )][DBLP]


  38. A Cooperative Coevolutionary Approach to Partitional Clustering. [Citation Graph (, )][DBLP]


  39. Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task. [Citation Graph (, )][DBLP]


  40. Incorporating Domain Knowledge into Evolutionary Computing for Discovering Gene-Gene Interaction. [Citation Graph (, )][DBLP]


  41. The Application of Pittsburgh-Style Learning Classifier Systems to Address Genetic Heterogeneity and Epistasis in Association Studies. [Citation Graph (, )][DBLP]


  42. Threshold Selection, Mitosis and Dual Mutation in Cooperative Co-evolution: Application to Medical 3D Tomography. [Citation Graph (, )][DBLP]


  43. Comparative Analysis of Search and Score Metaheuristics for Bayesian Network Structure Learning Using Node Juxtaposition Distributions. [Citation Graph (, )][DBLP]


  44. Analyzing the Credit Default Swap Market Using Cartesian Genetic Programming. [Citation Graph (, )][DBLP]


  45. A Memetic Cooperative Optimization Schema and Its Application to the Tool Switching Problem. [Citation Graph (, )][DBLP]


  46. Ownership and Trade in Spatial Evolutionary Memetic Games. [Citation Graph (, )][DBLP]


  47. A Hyper-Heuristic Approach to Strip Packing Problems. [Citation Graph (, )][DBLP]


  48. Asymptotic Analysis of Computational Multi-Agent Systems. [Citation Graph (, )][DBLP]


  49. Path-Guided Mutation for Stochastic Pareto Local Search Algorithms. [Citation Graph (, )][DBLP]


  50. Scheduling English Football Fixtures over the Holiday Period Using Hyper-heuristics. [Citation Graph (, )][DBLP]


  51. Graph Clustering Based Model Building. [Citation Graph (, )][DBLP]


  52. How to Choose Solutions for Local Search in Multiobjective Combinatorial Memetic Algorithms. [Citation Graph (, )][DBLP]


  53. Secure and Task Abortion Aware GA-Based Hybrid Metaheuristics for Grid Scheduling. [Citation Graph (, )][DBLP]


  54. A Memetic Algorithm for the Pickup and Delivery Problem with Time Windows Using Selective Route Exchange Crossover. [Citation Graph (, )][DBLP]


  55. Ant Based Hyper Heuristics with Space Reduction: A Case Study of the p-Median Problem. [Citation Graph (, )][DBLP]


  56. A Study of Multi-parent Crossover Operators in a Memetic Algorithm. [Citation Graph (, )][DBLP]


  57. A Hybrid Genetic Algorithm for the Traveling Salesman Problem Using Generalized Partition Crossover. [Citation Graph (, )][DBLP]


  58. A Memetic Algorithm with Non Gradient-Based Local Search Assisted by a Meta-model. [Citation Graph (, )][DBLP]


  59. Theoretically Investigating Optimal µ-Distributions for the Hypervolume Indicator: First Results for Three Objectives. [Citation Graph (, )][DBLP]


  60. Convergence Rates of (1+1) Evolutionary Multiobjective Optimization Algorithms. [Citation Graph (, )][DBLP]


  61. Tight Bounds for the Approximation Ratio of the Hypervolume Indicator. [Citation Graph (, )][DBLP]


  62. Evolutionary Multiobjective Optimization Algorithm as a Markov System. [Citation Graph (, )][DBLP]


  63. A Natural Evolution Strategy for Multi-objective Optimization. [Citation Graph (, )][DBLP]


  64. Solving Multiobjective Optimization Problem by Constraint Optimization. [Citation Graph (, )][DBLP]


  65. Enhancing Diversity for Average Ranking Method in Evolutionary Many-Objective Optimization. [Citation Graph (, )][DBLP]


  66. Objective Space Partitioning Using Conflict Information for Many-Objective Optimization. [Citation Graph (, )][DBLP]


  67. How Crossover Speeds Up Evolutionary Algorithms for the Multi-criteria All-Pairs-Shortest-Path Problem. [Citation Graph (, )][DBLP]


  68. Path Relinking on Many-Objective NK-Landscapes. [Citation Graph (, )][DBLP]


  69. In Search of Equitable Solutions Using Multi-objective Evolutionary Algorithms. [Citation Graph (, )][DBLP]


  70. Stopping Criteria for Genetic Algorithms with Application to Multiobjective Optimization. [Citation Graph (, )][DBLP]


  71. Defining and Optimizing Indicator-Based Diversity Measures in Multiobjective Search. [Citation Graph (, )][DBLP]


  72. On Expected-Improvement Criteria for Model-based Multi-objective Optimization. [Citation Graph (, )][DBLP]


  73. Parameter Tuning Boosts Performance of Variation Operators in Multiobjective Optimization. [Citation Graph (, )][DBLP]

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NOTICE2
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