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Group: Optimization - with tag metaheuristic [216 articles]

Recent papers posted by members of the Optimization group with tag metaheuristic
  • Metaheuristics
    Encyclopedia of Optimization (2009), pp. 2061-2075.
    by Stefan Voß
  • A multi-objective evolutionary algorithm for examination timetabling
    Journal of Scheduling
    by C Cheong, K Tan, B Veeravalli
  • A Cross-Entropy Based Population Learning Algorithm for Discrete-Continuous Scheduling with Continuous Resource Discretisation
    Knowledge-Based Intelligent Information and Engineering Systems (2008), pp. 82-89.
    by Piotr Jędrzejowicz, Aleksander Skakovski
  • A survey on metaheuristics for stochastic combinatorial optimization
    Natural Computing
    by Leonora Bianchi, Marco Dorigo, Luca Gambardella, Walter Gutjahr
  • An Iterated Local Search Approach for Finding Provably Good Solutions for Very Large TSP Instances
    Parallel Problem Solving from Nature – PPSN X (2008), pp. 929-939.
    by Peter Merz, Jutta Huhse
  • A Study of Convergence Speed in Multi-objective Metaheuristics
    Parallel Problem Solving from Nature – PPSN X (2008), pp. 763-772.
    by Antonio Nebro, Juan Durillo, Coello, Francisco Luna, Enrique Alba
  • Globalization and Parallelization of Nelder-Mead and Powell Optimization Methods
    Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering (2008), pp. 93-98.
  • 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
  • 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
  • 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 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
  • Stochastic metaheuristics as sampling techniques using swarm intelligence
    (December 2007)
    by J Dréo, P Siarry
    edited by Felix T Chan, Manoj K Tiwari
  • 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
  • Introcution to Evolutionary Computing
    (2003)
    by AE Eiben, JE Smith
  • Hyper-Heuristics: An Emerging Direction in Modern Search Technology
    Handbook of Metaheuristics (2003), pp. 457-474.
    by Edmund Burke, Graham Kendall, Jim Newall, Emma Hart, Peter Ross, Sonia Schulenburg
  • Global Optimization by Monotonic Transformation
    Computational Optimization and Applications, Vol. 23, No. 1. (1 October 2002), pp. 77-99.
    by Kar-Ann Toh
    posted to continuous metaheuristic optimization by nojhan to the group Optimization on 2008-05-12 18:25:07 as ** along with 2 people jrblevin ansobol
  • No free lunch theorems for optimization
    Evolutionary Computation, IEEE Transactions on, Vol. 1, No. 1. (1997), pp. 67-82.
    by DH Wolpert, WG Macready
  • Seeker Optimization Algorithm
    Computational Intelligence and Security (2007), pp. 167-176.
    by Chaohua Dai, Yunfang Zhu, Weirong Chen
  • Hybrid Evolutionary Algorithms: Methodologies, Architectures, and Reviews
    Hybrid Evolutionary Algorithms (2007), pp. 1-17.
    by Crina Grosan, Ajith Abraham
  • 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
  • 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
  • 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)
  • The Problem of Tuning Metaheuristics (Diski: Dissertationen Zur Kuenstlichen Intelligenz)
    (01 August 2005)
    by Mauro Birattari
  • 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
  • Optimization by Simulated Annealing
    Science, Number 4598, 13 May 1983, Vol. 220, 4598 (1983), pp. 671-680.
  • Parameter Estimation in Biochemical Pathways: A Comparison of Global Optimization Methods
    Genome Res., Vol. 13, No. 11. (1 November 2003), pp. 2467-2474.
    by Carmen G Moles, Pedro Mendes, Julio R Banga
  • 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
  • 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.
  • 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
  • Slightly Beyond Turing’s Computability for Studying Genetic Programming
    Machines, Computations, and Universality (2007), pp. 279-290.
    by Olivier Teytaud
  • 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
  • Foundations of Genetic Algorithms
    Vol. 4436/2007 (8--11 January 2007)
    edited by Christopher R Stephens, Marc Toussaint, Darrell Whitley, Peter F Stadler
  • Reviewer Assignment for Scientific Articles using Memetic Algorithms
    Metaheuristics (2007), pp. 113-134.
    by Alexander Schirrer, Karl Doerner, Richard Hartl
  • 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
  • Two adaptive mutation operators for optima tracking in dynamic optimization problems with evolution strategies
    (2007), pp. 697-704.
    by Claudio Rossi, Antonio Barrientos, Jaime D Cerro
  • Cross entropy and adaptive variance scaling in continuous EDA
    (2007), pp. 609-616.
    by Yunpeng Cai, Xiaomin Sun, Hua Xu, Peifa Jia
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