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Group: EvolutionaryComputation - with tag performance-assessment [68 articles]

Neue Artikel von Mitliedern der Gruppe EvolutionaryComputation Gruppe with tag performance-assessment
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  • Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics
    Vol. 4638 (6--8 September 2007)
    edited by Thomas Stützle, Mauro Birattari, Holger H Hoos
  • Parameter Setting in Evolutionary Algorithms (Studies in Computational Intelligence)
    (19 April 2007)
  • Inverse Multi-Objective Robust Evolutionary Design
    by Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu S Lee
  • Search intensity versus search diversity: a false trade off?
    Applied Intelligence
    by Alexandre Linhares, Horacio Yanasse
  • Sensitivity Analysis of a Genetic Algorithm for a Competitive Facility Location Problem
    Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering (2008), pp. 266-271.
    by José M Pangilinan, Gerrit K Janssens, An Caris
  • A Mathematical Modelling Technique for the Analysis of the Dynamics of a Simple Continuous EDA
    Evolutionary Computation, 2006. CEC 2006. IEEE Congress on (2006), pp. 1585-1591.
    by Bo Yuan, Marcus Gallagher
  • Few statistical tests for proportions comparison
    European Journal of Operational Research, Vol. 185, No. 3. (16 March 2008), pp. 1336-1350.
    by Éric D Taillard, Philippe Waelti, Jacques Zuber
  • A Racing Algorithm for Configuring Metaheuristics
    (2002), pp. 11-18.
    by Mauro Birattari, Thomas Stützle, Luis Paquete, Klaus Varrentrapp
  • Parameter Setting in Evolutionary Algorithms
    Vol. 54 (2007)
    edited by Fernando G Lobo, Cláudio F Lima, Zbigniew Michalewicz
  • A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization
    Journal of Heuristics
    by Salvador García, Daniel Molina, Manuel Lozano, Francisco Herrera
  • Analysis of genetic algorithms using statistical mechanics
    Physical Review Letters, Vol. 72, No. 9. (28 February 1994), 1305.
    by Adam Prügel-Bennett, Jonathan L Shapiro
  • When are recommender systems useful?
    (17 Sep 2007)
    by Marcel Blattner, Alexander Hunziker, Paolo Laureti
  • The Problem of Tuning Metaheuristics (Diski: Dissertationen Zur Kuenstlichen Intelligenz)
    (01 August 2005)
    by Mauro Birattari
  • The Problems with Counting Ancestors in a Simple Genetic Algorithm
    Advances in Artificial Life (2007), pp. 855-864.
    by Robert Collier, Mark Wineberg
  • Common model analysis and improvement of particle swarm optimizer
    Journal of Control Theory and Applications, Vol. 5, No. 3. (2007), pp. 233-238.
    by Feng Pan, Jie Chen, Minggang Gan, Guanghui Wang, Tao Cai
  • An experimental study of benchmarking functions for genetic algorithms
    Int J Comput Math, Vol. 79, No. 4. (2002), pp. 403-416.
  • A numerical evaluation of several stochastic algorithms on selected continuous global optimization test problems
    J of Global Optim, Vol. 31, No. 4. (2005), pp. 635-672.
  • Novel composition test functions for numerical global optimization
    Swarm Intelligence Symposium, 2005. SIS 2005. Proceedings 2005 IEEE (2005), pp. 68-75.
    by JJ Liang, PN Suganthan, K Deb
  • The Importance of Being Careful
    Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics (2007), pp. 1-15.
    by Arne Løkketangen
  • Implementation Effort and Performance
    Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics (2007), pp. 31-45.
    by Paola Pellegrini, Mauro Birattari
  • EasyAnalyzer: An Object-Oriented Framework for the Experimental Analysis of Stochastic Local Search Algorithms
    Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics (2007), pp. 76-90.
    by Luca Di Gaspero, Andrea Roli, Andrea Schaerf
  • ParEGO: a hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems
    Evolutionary Computation, IEEE Transactions on, Vol. 10, No. 1. (2006), pp. 50-66.
    by J Knowles
  • Do additional objectives make a problem harder?
    (2007), pp. 765-772.
    by Dimo Brockhoff, Tobias Friedrich, Nils Hebbinghaus, Christian Klein, Frank Neumann, Eckart Zitzler
  • Cross entropy and adaptive variance scaling in continuous EDA
    (2007), pp. 609-616.
    by Yunpeng Cai, Xiaomin Sun, Hua Xu, Peifa Jia
  • Convergence phases, variance trajectories, and runtime analysis of continuous EDAs
    (2007), pp. 516-522.
    by Jörn Grahl, Peter AN Bosman, Stefan Minner
  • Adaptive variance scaling in continuous multi-objective estimation-of-distribution algorithms
    (2007), pp. 500-507.
    by Peter AN Bosman, Dirk Thierens
  • Screening the parameters affecting heuristic performance
    (2007), pp. 180-180.
    by Enda Ridge, Daniel Kudenko
  • Scalability of particle swarm algorithms
    (2007), pp. 179-179.
    by Sébastien Piccand, Michael O'Neill, Jacqueline Walker
  • The effectiveness of dynamic ant colony tuning
    (2007), pp. 170-170.
    by Adrian A de Freitas, Christopher B Mayer
  • Analyzing heuristic performance with response surface models: prediction, optimization and robustness
    (2007), pp. 150-157.
    by Enda Ridge, Daniel Kudenko
  • Informative performance metrics for dynamic optimisation problems
    (2007), pp. 18-25.
    by Stefan Bird, Xiaodong Li
  • Model-based search for combinatorial optimization: A comparative study
    Vol. 2439 (September 2002), pp. 651-661.
    by M Zlochin, M Dorigo
  • Performance Evaluation of an Advanced Local Search Evolutionary Algorithm.
    (2005), pp. 1777-1784.
    by A Auger, N Hansen
  • Towards a Theory of Practice in Metaheuristics Design: A Machine Learning Perspective
    Theoretical Informatics and Applications, Vol. 40, No. 2. (2006), pp. 353-369.
  • Relevance Estimation and Value Calibration of Evolutionary Algorithm Parameters
    (2007), pp. 975-980.
    by V Nannen, AE Eiben
  • A method for parameter calibration and relevance estimation in evolutionary algorithms
    (2006), pp. 183-190.
    by Volker Nannen, AE Eiben
  • Sequential parameter optimization
    Evolutionary Computation, 2005. The 2005 IEEE Congress on, Vol. 1 (2005), pp. 773-780.
  • Design of evolutionary algorithms -- A statistical perspective
    Evolutionary Computation, IEEE Transactions on, Vol. 5, No. 2. (2001), pp. 129-148.
  • A double-distribution statistical algorithm for composite laminate optimization
    Structural and Multidisciplinary Optimization (12 November 2005), pp. 1615-1488.
    by Laurent Grosset, Rodolphe Riche, Raphael T Haftka
  • Distributed Evolutionary Algorithms Inspired by Membranes in Solving Continuous Optimization Problems
    : Membrane Computing (2006), pp. 536-553.
    by Daniela Zaharie, Gabriel Ciobanu
  • Searching performance of a real-coded genetic algorithm using biased probability distribution functions and mutation
    Artificial Life and Robotics, Vol. V11, No. 1. (24 January 2007), pp. 37-41.
    by Hiroki Nakanishi, Hiroshi Kinjo, Naoki Oshiro, Tetsuhiko Yamamoto
  • Using Statistical Analysis to Tune an Evolutionary Algorithm for Dynamic Optimization with Progressive Step Reduction
    Computers & Chemical Engineering, Vol. In Press, Accepted Manuscript
    by QT Pham
  • Effects of diversity control in single-objective and multi-objective genetic algorithms
    Journal of Heuristics, Vol. 13, No. 1. (February 2007), pp. 1-34.
    by Nachol Chaiyaratana, Theera Piroonratana, Nuntapon Sangkawelert
  • Global optimization in clustering using hyperbolic cross points
    Pattern Recognition, Vol. In Press, Corrected Proof
    by YK Hu, YP Hu
  • Fitting the control parameters of a genetic algorithm: An application to technical trading systems design
    European Journal of Operational Research, Vol. 179, No. 3. (16 June 2007), pp. 847-868.
  • Experimental Research in Evolutionary Computation: The New Experimentalism
    (2006)
  • Theoretical analysis of the unimodal normal distribution crossover for real-coded genetic algorithms
    Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on (1998), pp. 529-534.
    by H Kita, I Ono, S Kobayashi
  • Empirical analysis of self-adaptive differential evolution
    European Journal of Operational Research, Vol. In Press, Corrected Proof
    by Ayed Salman, Andries P Engelbrecht, Mahamed G Omran
  • Visualization for Analyzing Trajectory-Based Metaheuristic Search Algorithms
    (2006), pp. 703-704.
    by Steven Halim, Roland HC Yap, Hoong C Lau
    edited by Gerhard Brewka, Silvia Coradeschi, Anna Perini, Paolo Traverso
  • A Comparison of the Performance of Different Metaheuristics on the Timetabling Problem
    by Olivia R Doria, Michael Sampels, Mauro Birattari, Marco Chiarandini, Marco Dorigo, Luca M Gambardella, Joshua Knowles, Max Manfrin
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