Industrial Engineering & Management

Vasant P

Publications

• Research Article
  Non-Gaussian Random Generators in Bacteria Foraging Algorithm for Multiobjective Optimization
  Author(s): Ganesan T, Vasant P and Elamvazuthi I Ganesan T, Vasant P and Elamvazuthi I
  
  Random generators or stochastic engines are a key component in the structure of metaheuristic algorithms. This work investigates the effects of non-Gaussian stochastic engines on the performance of metaheuristics when solving a real-world optimization problem. In this work, the bacteria foraging algorithm (BFA) was employed in tandem with four random generators (stochastic engines). The stochastic engines operate using the Weibull distribution, Gamma distribution, Gaussian distribution and a chaotic mechanism. The two non-Gaussian distributions are the Weibull and Gamma distributions. In this work, the approaches developed were implemented on the real-world multi-objective resin bonded sand mould problem. The Pareto frontiers obtained were benchmarked using two metrics; the hyper volume indicator (HVI) and the proposed Average Explorative Rate (AER) metric. Detail discussions from var.. Read More»
  DOI: 10.4172/2169-0316.1000182

  Abstract PDF