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83 214 (0,206s)

Result

Multi-Objective Optimization with Asymptotic Sampling for RBDO

thus the multi-objective algorithm based on a non-dominated sorting genet...

JD - Využití počítačů, robotika a její aplikace

  • 2013
  • D
Result

Multi-objective Adaptive DoE for RBDO

objectives are optimized by NSGA II algorithm to obtain maximum information out...

JD - Využití počítačů, robotika a její aplikace

  • 2013
  • D
Result

Modified Genetic Algorithm with Sorting Process for Wireless Sensor Network

modified genetic algorithms with a novel-sorting process to solve the above problem-Genetic algorithm, are simulated and altered by embedding the novel-sorting process are reduced in genetic<...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2020
  • D
  • Link
Result

Evolutionary Constructor Design for the Sorting Networks

In this paper we present an approach for constructing sorting networks of the arbitrary number of inputs. Genetic algorithm is used to find a constructor that would be able to build arbitrarily large sorting networ...

JC - Počítačový hardware a software

  • 2004
  • D
Result

EvoSort - System for Evolutionary Development of Generic Sorting Networks

The system is intended for automatic design of algorithms for the construction of arbitrarily large sorting networks by means of genetic algorithm and continual instruction of the sorting networks, an embr...

JC - Počítačový hardware a software

  • 2010
  • R
Result

A Benchmark for the Sorting Network Problem

The paper introduces an overview of sorting networks created by means of a method discovered by genetic algorithm with development. The results are compared with conventional sorting networks. Genetic ...

JC - Počítačový hardware a software

  • 2005
  • D
Result

Study on Multi-Objective Reconstruction of Random Media

optimization routine Non-dominated Sorting Genetic Algorithm II is utilized. Three...

JD - Využití počítačů, robotika a její aplikace

  • 2016
  • D
Result

Self-organizing Migrating Algorithm for Optimization with General Number of Objectives

for comparingvarious algorithms. The performance of the MOSOMA, a non-dominated sorting genetic algorithm II (NSGA-II) and a strength Pareto evolutionary algorithm 2 (SPEA2) is compared ...

JA - Elektronika a optoelektronika, elektrotechnika

  • 2012
  • D
Result

Critical Comparison of Multi-objective Optimization Methods: Genetic Algorithms versus Swarm Intelligence

The paper deals with efficiency comparison of two global evolutionary optimization methods implemented in MATLAB. Attention is turned to an elitist Non-dominated Sorting Genetic Algorithm (NSGA-II) and a novel mult...

JA - Elektronika a optoelektronika, elektrotechnika

  • 2010
  • Jx
Result

A Location Gradient Induced Sorting Approach for Multi-objective Optimization

sorting approach used within the framework of Non-dominated Sorting Genetic Algorithm (NSGA-II) reaches a O(MN2) time complexity (N is the population size, M sorting approach amounts to sort<...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2022
  • D
  • Link
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