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Showing 1 to 3 of 3 for “"Hybrid Genetic Algorithms"”.

  1. Hybrid Genetic Algorithms

    Genetic algorithms (GAs), a class of evolutionary algorithms, emerging to be a promising procedure for solving engineering optimization problems. As GAs are able to conduct global search with minimal simplifying assumptions about the problem as well as the corresponding decision space, they offer a …

    ncsu Repository record for Hybrid Genetic Algorithms (opens in a new tab)

  2. Model-based Deployment Optimization of Automotive Multi- and Many-Core Systems

    … Based on this outcome, it develops two (hybrid) genetic algorithms that (i) allocate processes to processing units while assigning priorities and (ii) cluster labels according to their accessing processing units and subsequentially map these clusters to memories. Our experimental results …

    bielefeld Repository record for Model-based Deployment Optimization of Automotive Multi- and Many-Core Systems (opens in a new tab)

  3. Evolutionary Computation and Experimental Design

    … the investigations undertaken to produce a novel hybrid optimisation technique that combines both global and local searching to produce good solutions quickly. Many evolutionary computation and experimental design methods are considered before genetic algorithms and evolutionary operation are …

    southwales Repository record for Evolutionary Computation and Experimental Design (opens in a new tab)