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Group: Optimization - library [393 articles]

Recent papers posted by members of the Optimization group
  • Multiobjective Genetic Algorithms
    Network Models and Optimization (2008), pp. 1-47.
  • Geodesic Gaussian kernels for value function approximation
    Autonomous Robots
    by Masashi Sugiyama, Hirotaka Hachiya, Christopher Towell, Sethu Vijayakumar
  • 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
  • Statistical Physics of Hard Optimization Problems
    (25 Jun 2008)
  • 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
  • Topology optimization of fluids in Stokes flow
    International journal for numerical methods in fluids, Vol. 41, No. 1. (2003), pp. 77-107.
    by Thomas Borrvall, Joakim Petersson
  • The Limits of Porous Materials in the Topology Optimization of Stokes Flows
    Applied Mathematics and Optimization, Vol. 52, No. 3. (13 October 2005), pp. 263-277.
    by Anton Evgrafov
  • Topology optimization using a mixed formulation: An alternative way to solve pressure load problems
    Computer Methods in Applied Mechanics and Engineering, Vol. 196, No. 13-16. (1 March 2007), pp. 1874-1889.
    by O Sigmund, PM Clausen
  • Design of Micro-Fluidic Bio-Reactors Using Topology Optimization
    Journal of Computational and Theoretical Nanoscience, Vol. 4, No. 4. (June 2007), pp. 814-816.
    by Fridolin Okkels, Henrik Bruus
  • Topology optimization of fluid domains: kinetic theory approach
    ZAMM, Vol. 88, No. 2. (2008), pp. 129-141.
    by A Evgrafov, G Pingen, K Maute
  • A continuous adjoint formulation for the computation of topological and surface sensitivities of ducted flows
    International Journal for Numerical Methods in Fluids, Vol. 9999, No. 9999. (2008), n/a.
    by C Othmer
  • Mesh adaptive direct search algorithms for mixed variable optimization
    Optimization Letters
    by Mark Abramson, Charles Audet, James Chrissis, Jennifer Walston
  • A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices
    (2005), pp. 1485-1492.
    by Naoki Mori, Masayuki Takeda, Keinosuke Matsumoto
  • 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 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
  • The 3rd International Planning Competition: Results and Analysis
    Journal of Artificial Intelligence Research, Vol. 20 (2003), pp. 1-59.
    by D Long, M Fox
    posted to temporal-planning survey planning competition benchmark by nojhan to the group Optimization on 2008-06-14 09:54:36 as **
  • 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 optimization metaheuristic continuous by nojhan to the group Optimization on 2008-05-12 18:25:07 as ** along with 2 people ansobol jrblevin
  • SQLMP: A Data Sublanguage for Representation and Formulation of Linear Mathematical Models
    ORSA Journal of Computing, Vol. 3, No. 4. (Fall 1991), pp. 358-375.
    by Joobin Choobinheh
    posted to mathematicalmodeling mathematicalprogramming sql sqlmp by rrufai to the group Optimization on 2008-03-29 19:18:50 as read along with 1 group OR
  • No free lunch theorems for optimization
    Evolutionary Computation, IEEE Transactions on, Vol. 1, No. 1. (1997), pp. 67-82.
    by DH Wolpert, WG Macready
  • Evolutionary robotics—A review
    Sadhana, Vol. 28, No. 6. (18 December 2003), pp. 999-1009.
    by Dilip Pratihar
  • Seeker Optimization Algorithm
    Computational Intelligence and Security (2007), pp. 167-176.
    by Chaohua Dai, Yunfang Zhu, Weirong Chen
  • When are recommender systems useful?
    (17 Sep 2007)
    by Marcel Blattner, Alexander Hunziker, Paolo Laureti
  • 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
  • Incremental Evolution of Stigmergy-Based Multi Robot Controllers Through Utility Functions
    Knowledge-Based Intelligent Information and Engineering Systems (2007), pp. 1187-1195.
    by P Caamaño, J Becerra, R Duro, F Bellas
  • Hybrid Evolutionary Algorithms: Methodologies, Architectures, and Reviews
    Hybrid Evolutionary Algorithms (2007), pp. 1-17.
    by Crina Grosan, Ajith Abraham
  • Developments and Applications of Nonlinear Principal Component Analysis – a Review
    Principal Manifolds for Data Visualization and Dimension Reduction (2007), pp. 1-43.
    by Uwe Kruger, Junping Zhang, Lei Xie
  • Genetic Programming: On the Programming of Computers by Means of Natural Selection (Complex Adaptive Systems)
    (11 December 1992)
    by John R Koza
  • 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
  • Relationship between clustering and algorithmic phase transitions in the random k-XORSAT model and its NP-complete extensions
    (4 Sep 2007)
    by Fabrizio Altarelli, Remi Monasson, Francesco Zamponi
  • 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
  • A practical sampling approach for a Bayesian mixture model with unknown number of components
    Statistical Papers, Vol. 48, No. 4. (28 October 2007), pp. 631-653.
    by Liqun Wang, James Fu
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