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Group: EvolutionaryComputation - with tag genetic-algorithm [51 articles]

Recent papers posted by members of the EvolutionaryComputation group with tag genetic-algorithm
  • 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
  • Comparison of Two Multi-Agent Algorithms: ACO and PSO for the Optimization of a Brushless DC Wheel Motor
    Intelligent Computer Techniques in Applied Electromagnetics (2008), pp. 3-10.
    by Fouzia Moussouni, Stéphane Brisset, Pascal Brochet
  • An approach to multi-criteria assembly sequence planning using genetic algorithms
    The International Journal of Advanced Manufacturing Technology
    by Young-Keun Choi, Dong Lee, Yeong Cho
  • Multiobjective Genetic Algorithms
    Network Models and Optimization (2008), pp. 1-47.
  • FPGA Implementation of Genetic Algorithm for UAV Real-Time Path Planning
    Journal of Intelligent and Robotic Systems
    by François Allaire, Mohamed Tarbouchi, Gilles Labonté, Giovanni Fusina
  • 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
  • A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices
    (2005), pp. 1485-1492.
    by Naoki Mori, Masayuki Takeda, Keinosuke Matsumoto
  • A genetic algorithm for the Flexible Job-shop Scheduling Problem
    Computers & Operations Research, Vol. 35 (2008), pp. 3203-3212.
  • Phase Transitions and Symmetry Breaking in Genetic Algorithms with Crossover
    Theoretical Computer Science, Vol. 358, No. 1. (April 2006), pp. 121-141.
  • Evolutionary Computing for the Optimization of Mathematical Functions
    Analysis and Design of Intelligent Systems Using Soft Computing Techniques (2007), pp. 463-472.
    by Fevrier Valdez, Patricia Melin, Oscar Castillo
  • Evolutionary Computation
    (19 March 2002)
    by Kenneth A Dejong, Kenneth A De Jong
  • Handbook of Metaheuristics (International Series in Operations Research & Management Science)
    (01 January 2003)
    by Fred W Glover, Gary A Kochenberger
  • Genetic Algorithms in Search, Optimization, and Machine Learning
    (01 January 1989)
    by David E Goldberg
  • 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
  • The Problems with Counting Ancestors in a Simple Genetic Algorithm
    Advances in Artificial Life (2007), pp. 855-864.
    by Robert Collier, Mark Wineberg
  • An experimental study of benchmarking functions for genetic algorithms
    Int J Comput Math, Vol. 79, No. 4. (2002), pp. 403-416.
  • 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
  • Evolutionary Divide and Conquer (I): a novel genetic approach to the TSP
    Evolutionary Computation, Vol. 1, No. 4. (1994), pp. 313-333.
    by Christine L Valenzuela, Antonia J Jones
  • Genetic Particle Swarm Optimization Based on Estimation of Distribution
    Bio-Inspired Computational Intelligence and Applications (2007), pp. 287-296.
    by Jiahai Wang
  • 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
  • Foundations of Genetic Algorithms
    Vol. 4436/2007 (8--11 January 2007)
    edited by Christopher R Stephens, Marc Toussaint, Darrell Whitley, Peter F Stadler
  • The effectiveness of dynamic ant colony tuning
    (2007), pp. 170-170.
    by Adrian A de Freitas, Christopher B Mayer
  • 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
  • Introduction to Evolutionary Computing (Natural Computing Series)
    (05 November 2003)
    by AE Eiben, JE Smith
  • 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
  • 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
  • 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
  • A real-coded genetic algorithm using the unimodal normal distribution crossover
    (2003), pp. 213-237.
    by Isao Ono, Hajime Kita, Shigenobu Kobayashi
  • Clustered genetic search in continuous landscape exploration
    Engineering Applications of Artificial Intelligence, Vol. 17, No. 4. (June 2004), pp. 407-416.
    by Robert Schaefer, Katarzyna Adamska, Henryk Telega
  • 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.
  • Stochastic modelling of Genetic Algorithms
    Artificial Intelligence, Vol. 82, No. 1-2. (April 1996), pp. 303-330.
    by David Reynolds, Jagannathan Gomatam
  • 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
  • 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
  • Inverse Problems and Genetic Algorithms
    :, pp. 349-366.
    by Silvia Delsanto, Michele Griffa, Lia Morra
  • An enhanced ant colony optimization metaheuristic for the minimum dominating set problem
    Applied Artificial Intelligence, Vol. 20, No. 10. (December 2006), pp. 881-903.
    by Chin K Ho, Yashwant P Singh, Hong T Ewe
  • 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
  • A Hybrid Genetic Algorithm Based on Intelligent Encoding for Project Scheduling
    :, pp. 249-274.
    by Javier Alcaraz, Concepciã³n Maroto
  • Estimation of evolvability genetic algorithm and dynamic environments
    Genetic Programming and Evolvable Machines
    by Yao Wang, Mark Wineberg
  • Improved genetic algorithm inspired by biological evolution
    Soft Computing - A Fusion of Foundations, Methodologies and Applications
  • New Hybrid Real-Coded Genetic Algorithm
    Lecture Notes in Computer Science : AI 2006: Advances in Artificial Intelligence (2006), pp. 1221-1225.
    by Zhonglai Wang, Jingqi Xiong, Qiang Miao, Bo Yang, Dan Ling
  • A parallel hybrid genetic algorithm for protein structure prediction on the computational grid
    Future Generation Computer Systems, Vol. In Press, Corrected Proof
    by AA Tantar, N Melab, EG Talbi, B Parent, D Horvath
  • 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
  • Re-evaluating genetic algorithm performance under coordinate rotation of benchmark functions. a survey of some theoretical and practical aspects of genetic algorithms
    Biosystems, Vol. 39, No. 3. (1996), pp. 263-278.
    by R Salomon
  • Fitness Distance Correlation as a Measure of Problem Difficulty for Genetic Algorithms
    (1995), pp. 184-192.
    by Terry Jones, Stephanie Forrest
  • 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
  • Performance Evaluation of Multiagent Genetic Algorithm
    Natural Computing, Vol. 5, No. 1. (20 January 2006), pp. 83-96.
    by JJ Liang, S Baskar, PN Suganthan, AK Qin
  • An intelligent genetic algorithm designed for global optimization of multi-minima functions
    Applied Mathematics and Computation, Vol. 178, No. 2. (15 July 2006), pp. 355-371.
    by Li-Ning Xing, Ying-Wu Chen, Huai-Ping Cai
  • A genetic algorithm and a particle swarm optimizer hybridized with Nelder-Mead simplex search
    Computers & Industrial Engineering, Vol. In Press, Corrected Proof
    by Shu-Kai S Fan, Yun-Chia Liang, Erwie Zahara
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