«heuristic optimization»

۲۳٬۳۶۳ نتیجه
  • Controllable Simulation of Deformable Objects Using the Heuristic Optimal Control Method

    سند علمی۲۰۰۶Hongjun JEON, Min-Hyung CHOI

    Physically-based simulation techniques have been widely used in computer graphics because it creates highly realistic animation. However, due to the limitation of passive simulation and simplified modeling methods, it is very difficult to control the behavior of deformable object

  • Dynamic Ensemble Construction via Heuristic Optimization

    سند علمی۲۰۰۹Şenay Yaşar Sağlam

    Classifier ensembles, in which multiple predictive models are combined to produce predictions for new cases, generally perform better than a single classifier. Most existing methods construct static ensembles, in which one collection is used for all test cases. Recently, some res

  • Heuristic Optimization Techniques for Network Reconfiguration in Distribution System

    سند علمی۲۰۱۲A. Charlangsut, N. Rugthaicharoencheep, S. Auchariyamet

    Network reconfiguration is an operation to modify the network topology. The implementation of network reconfiguration has many advantages such as loss minimization, increasing system security and others. In this paper, two topics about the network reconfiguration in distribution

  • Efficient Heuristic Optimization in Single Machine Scheduling

    سند علمی۲۰۰۶Roland Braune, Michael Affenzeller, Stefan Wagner

    In this paper, we present a comparison of heuristic optimization algorithms for single machine scheduling problems with and without arbitrary job release times. The main focus of our analysis is the efficiency of the examined methods, i.e. how they perform under strictly limited

  • A Heuristic Optimal Discrete Bit Allocation Algorithm for Margin Maximization in DMT Systems

    سند علمی۲۰۰۷EURASIP J. Adv. Sig. Proc.Li-Ping Zhu, Yao Ping Yan, Shi-Dong Zhou, Shi-Wei Dong

    A heuristic optimal discrete bit allocation algorithm is proposed for solving the margin maximization problem in discrete multitone (DMT) systems. Starting from an initial equal power assignment bit distribution, the proposed algorithm employs a multistaged bit rate allocation sc

  • Job Shop Scheduling and Heuristic Optimization

    سند علمی۲۰۰۹

    It is predicted that job shop type of manufacture will be used more than before due economical circumstances. Companies are forced to provide their customers with large variety of products in low volume production, with view of different requirements from product consumers and lo

  • Combining Iterative Heuristic Optimization and Uncertainty Analysis methods for Robust Parameter Design

    سند علمی۲۰۰۶JOSÉ DELPIANO, M. Sepúlveda

    † School of Engineering, Universidad de los Andes, San Carlos de Apoquindo 2200, Santiago, Chile ‡ Computer Science Department, School of Engineering, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, Santiago, Chile In the last years, several works have pointed out

  • Heuristically Optimal Path Scanning (HOPS) for High Speed Multiphoton Circuit

    سند علمی۲۰۱۱Alexander J Sadovsky, Peter B. Kruskal, Joseph M. Kimmel, Jared Ostmeyer

    10 11 Population dynamics of patterned neuronal firing is fundamental to information 12 processing in the brain. Multiphoton microscopy in combination with calcium indicator 13 dyes allows circuit dynamics to be imaged with single neuron resolution. However, the 14 temporal resol

  • An Evaluation of Certain Heuristic Optimization Algorithms in Scheduling Medical Doctors and Medical Students

    سند علمی۲۰۰۶PATATChristine A. White, Emilina Nano, Diem-Hang Nguyen-Ngoc, George M. White

    Four heuristic algorithms based on or inspired by the wellknown Tabu Search method have been used to cast heuristically optimized schedules for a clinical training unit of a hospital. It has been found experimentally that the algorithm of choice for this problem depends on the ex

  • Heuristic optimization methods for motion planning of autonomous agricultural vehicles

    سند علمی۲۰۰۲J. Global OptimizationKonstantinos P. Ferentinos, Konstantinos G. Arvanitis, Nick Sigrimis

    In this paper, two heuristic optimization techniques are tested and compared in the application of motion planning for autonomous agricultural vehicles: Simulated Annealing and Genetic Algorithms. Several preliminary experimentations are performed for both algorithms, so that the