Sökning: "linear genetic programming"

Visar resultat 1 - 5 av 19 avhandlingar innehållade orden linear genetic programming.

  1. 1. Dynamics and Performance of a Linear Genetic Programming System

    Författare :Frank D. Francone; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Mutation; Genetic Programming; Homologous Crossover.; Crossover; Introns; Linear Genetic Programming; Code Bloat;

    Sammanfattning : Genetic Programming (“GP”) is a machine learning algorithm. Typically, Genetic Programming is a supervised learning algorithm, which trains on labeled training examplesprovided by the user. The solution output by GP maps known attributes to the known labels. LÄS MER

  3. 2. Integrated Software Pipelining

    Författare :Mattias Eriksson; Christoph Kessler; Sid Ahmed Ali Touati; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Code generation; compilers; instruction scheduling; register allocation; spill code generation; modulo scheduling; integer linear programming; genetic programming.; Computer science; Datavetenskap;

    Sammanfattning : In this thesis we address the problem of integrated software pipelining for clustered VLIW architectures. The phases that are integrated and solved as one combined problem are: cluster assignment, instruction selection, scheduling, register allocation and spilling. LÄS MER

  4. 3. Exploring Massively Parallel Models and Architectures for Efficient Computation of Evolutionary Algorithms

    Författare :Sven Eklund; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; distributed population models; evolutionary algorithms; symbolic function regression; genetic programming; linear machine code; Diffusion Model; time series forecasting; FPGA; VHDL;

    Sammanfattning : 'Evolutionary algorithms' is the collective name for a group of relatively new stochastic search algorithms that have several unique and interesting properties. However, as with all search algorithms, evolutionary algorithms also have disadvantages. LÄS MER

  5. 4. Exploring massively parallel models and architectures for efficient computation of evolutionary algorithms

    Författare :Sven Eklund; Högskolan Dalarna; []
    Nyckelord :evolutionary algorithms; genetic programming; linear machine code; distributed population models; diffusion model; symbolic function regression; time series forecasting; VHDL; FPGA;

    Sammanfattning : .... LÄS MER

  7. 5. Models and solution methods for large-scale industrial mixed integer programming problems

    Författare :David Bredström; Mikael Rönnqvist; Dag Wedelin; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Mathematic; linear programming MIP ; production-planning; MATHEMATICS; MATEMATIK;

    Sammanfattning : This thesis deals with large-scale industrial problems that can be formulated using mixed integer linear programming (MIP) models. Because of the large problem size, it is not often possible to apply standard solution methods. Therefore special techniques must be used. LÄS MER