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Tag metaheuristic [215 articles]

Articoli recentemente classificati sotto il tag metaheuristic.
  • AntNet: Distributed Stigmergetic Control for Communications Networks
    Journal of Artificial Intelligence Research, Vol. 9 (1998), pp. 317-365.
    by Gianni Di Caro, Marco Dorigo
  • A combination of modified particle swarm optimization algorithm and support vector machine for gene selection and tumor classification
    Talanta, Vol. In Press, Corrected Proof
    by Qi Shen, Wei-Min Shi, Wei Kong, Bao-Xian Ye
  • Robust optimization - A comprehensive survey
    Computer Methods in Applied Mechanics and Engineering, Vol. 196, No. 33-34. (1 July 2007), pp. 3190-3218.
    by Hans-Georg Beyer, Bernhard Sendhoff
  • MCPSO: A multi-swarm cooperative particle swarm optimizer
    Applied Mathematics and Computation, Vol. In Press, Corrected Proof
    by Ben Niu, Yunlong Zhu, Xiaoxian He, Henry Wu
  • A note on the variance of rank-based selection strategies for genetic algorithms and genetic programming
    Genetic Programming and Evolvable Machines
    by Artem Sokolov, Darrell Whitley, da Motta
  • Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms (Studies in Fuzziness and Soft Computing)
    (27 February 2006)
    by Jose A Lozano, Pedro Larranaga, Inaki Inza
  • 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
  • Evolutionary Computation
    (19 March 2002)
    by Kenneth A Dejong, Kenneth A De Jong
  • Integrated crossover rules in real coded genetic algorithms
    European Journal of Operational Research, Vol. 176, No. 1. (1 January 2007), pp. 60-76.
    by P Kaelo, MM Ali
  • Handbook of Metaheuristics (International Series in Operations Research & Management Science)
    (01 January 2003)
    by Fred W Glover, Gary A Kochenberger
  • Stochastic Local Search : Foundations & Applications (The Morgan Kaufmann Series in Artificial Intelligence) (The Morgan Kaufmann Series in Artificial Intelligence)
    (16 September 2004)
    by Holger H Hoos, Thomas Stützle
  • Genetic Algorithms in Search, Optimization, and Machine Learning
    (01 January 1989)
    by David E Goldberg
  • Tow algorithms for global optimization of general NLP problems
    International Journal for Numerical Methods in Engineering, Vol. 39, No. 19. (1996), pp. 3305-3325.
    by OA Elwakeil, JS Arora
  • Divide-and-Evolve: A New Memetic Scheme for Domain-Independent Temporal Planning
    Evolutionary Computation in Combinatorial Optimization (2006), pp. 247-260.
    by Marc Schoenauer, Pierre Savéant, Vincent Vidal
  • Globalized Nelder-Mead method for engineering optimization
    (2002), pp. 165-166.
    by MA Luersen, R Le Riche
  • A Tutorial on the Cross-Entropy Method
    Annals of Operations Research, Vol. 134, No. 1. (January 2005), pp. 19-67.
    by Pieter-Tjerk de Boer, Dirk Kroese, Shie Mannor, Reuven Rubinstein
  • How to Solve It: Modern Heuristics
    (08 December 2004)
    by Zbigniew Michalewicz, David B Fogel
  • Handbook of Approximation Algorithms and Metaheuristics (Chapman & Hall/Crc Computer and Information Science Series)
    (15 May 2007)
  • Tabu Search directed by direct search methods for nonlinear global optimization
    European Journal of Operational Research, Vol. 170, No. 2. (16 April 2006), pp. 329-349.
    by Abdel-Rahman Hedar, Masao Fukushima
  • The Problem of Tuning Metaheuristics (Diski: Dissertationen Zur Kuenstlichen Intelligenz)
    (01 August 2005)
    by Mauro Birattari
  • Genetic algorithm for constrained global optimization in continuous variables
    Applied Mathematics and Computation, Vol. 171, No. 1. (1 December 2005), pp. 604-636.
    by Dhiranuch Bunnag, Min Sun
  • Parameter Control in Evolutionary Algorithms
    IEEE Transactions on Evolutionary Computation, Vol. 3, No. 2. (July 1999), pp. 124-141.
    by Ágoston E Eiben, Robert Hinterding, Zbigniew Michalewicz
  • The Creativity Potential Within Evolutionary Algorithms
    Advances in Artificial Life (2007), pp. 845-854.
    by David Iclănzan
  • Evolution and Learning in an Intrinsically Motivated Reinforcement Learning Robot
    Advances in Artificial Life (2007), pp. 294-303.
    by Massimiliano Schembri, Marco Mirolli, Gianluca Baldassarre
  • Linkage Learning via Probabilistic Modeling in the Extended Compact Genetic Algorithm (ECGA)
    : Scalable Optimization via Probabilistic Modeling (2006), pp. 39-61.
    by Georges R Harik, Fernando G Lobo, Kumara Sastry
  • A Multi-Objective Genetic Algorithm Based on Density
    Advances in Computation and Intelligence (2007), pp. 12-25.
    by Jinhua Zheng, Guixia Xiao, Wu Song, Xuyong Li, Charles Ling
  • The Problems with Counting Ancestors in a Simple Genetic Algorithm
    Advances in Artificial Life (2007), pp. 855-864.
    by Robert Collier, Mark Wineberg
  • Stochastic modelling of Genetic Algorithms
    Artificial Intelligence, Vol. 82, No. 1-2. (April 1996), pp. 303-330.
    by David Reynolds, Jagannathan Gomatam
  • Ant colony optimization for routing and load-balancing: survey and new directions
    Systems, Man and Cybernetics, Part A, IEEE Transactions on, Vol. 33, No. 5. (2003), pp. 560-572.
    by Kwang M Sim, Weng H Sun
  • Ant Colonies for Adaptive Routing in Packet-Switched Communications Networks
    Lecture Notes in Computer Science, Vol. 1498 (1998), pp. 673-??.
    by Gianni Di Caro, Marco Dorigo
  • Exploiting Competitive Planner Performance
    Recent Advances in AI Planning (2000), pp. 62-72.
    by Adele Howe, Eric Dahlman, Christopher Hansen, Michael Scheetz, Anneliese von Mayrhauser
  • Evolutionary programming using a mixed mutation strategy
    Information Sciences, Vol. In Press, Corrected Proof
    by Hongbin Dong, Jun He, Houkuan Huang, Wei Hou
  • Stability analysis of swarms
    Automatic Control, IEEE Transactions on, Vol. 48, No. 4. (2003), pp. 692-697.
    by V Gazi, KM Passino
  • On the computation of all global minimizers through particle swarm optimization
    Evolutionary Computation, IEEE Transactions on, Vol. 8, No. 3. (2004), pp. 211-224.
  • Don't push me! Collision-avoiding swarms
    Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on, Vol. 2 (2002), pp. 1691-1696.
  • 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
  • A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II
    (2000), pp. 849-858.
    by Kalyanmoy Deb, Samir Agrawal, Amrit Pratab, T Meyarivan
    edited by Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, Xin Yao, Evelyne Lutton, JJ Merelo, Hans-Paul Schwefel
  • On the effectiveness of incorporating randomness and memory into a multi-start metaheuristic with application to the Set Covering Problem
    Computers & Industrial Engineering, Vol. In Press, Corrected Proof
    by Guanghui Lan, Gail W Depuy
  • A rigorous complexity analysis of the (1 + 1) evolutionary algorithm for separable functions with Boolean inputs
    Evol. Comput., Vol. 6, No. 2. (1998), pp. 185-196.
    by S Droste, I Wegener, T Jansen
  • 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.
  • Cross-Entropy method: convergence issues for extended implementation
    (16 Sep 2006)
    by Frederic Dambreville
  • 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
  • A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices
    (2005), pp. 1485-1492.
    by Naoki Mori, Masayuki Takeda, Keinosuke Matsumoto
  • Estimation of fitness landscape contours in EAs
    (2007), pp. 562-569.
    by Petr Pošík, Vojtěch Franc
  • 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
  • A rough set GA-based hybrid method for robot path planning
    International Journal of Automation and Computing, Vol. V3, No. 1. (10 January 2006), pp. 29-34.
    by Cheng-Dong Wu, Ying Zhang, Meng-Xin Li, Yong Yue
  • 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
  • A Hybrid Genetic Algorithm Based on Intelligent Encoding for Project Scheduling
    :, pp. 249-274.
    by Javier Alcaraz, Concepciã³n Maroto
  • Robust rigid registration of retinal angiograms through optimization
    Computerized Medical Imaging and Graphics, Vol. 30, No. 8. (2006), pp. 453-463.
    by Johann Dreo, Jean-Claude Nunes, Patrick Siarry
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