Subject Code: ME4L008 Subject Name: Name: Soft Computing Techniques in Mechanical Engineering L-T-P: 3-0-0 Credit: 3
Pre-Requisite(s): None
Necessity of modeling and optimization in the context of mechanical engineering, Classical modeling and optimization methods, need for soft computing, mathematical foundation and  computer implementation of neural networks, fuzzy logic, geometric programming, genetic algorithms, particle swarm optimization, differential evolution, artificial bee colony techniques and hybridization of the above algorithms, like GA-NN, GA-FL, PSO-NN, etc., Application of soft computing techniques to solve design, thermal and manufacturing related problems.
Text/Reference Books:
  1. Pratihar D.K., Soft Computing, Narosa Publishers.
  2. Goldberg D.E., Genetic algorithms in search optimization and machining, Pearson Education.
  3. Haykin S., Neural networks a comprehensive foundation, Pearson Education.
  4. Klir G.J., and Yuan B., Fuzzy sets and fuzzy logic theory and applications, PHI.
  5. Prince K., Storn R.M., and Lampinen J.A., Differential evolution: A practical approach to global optimization, Springer.
  6. Sun J., and Wu X.J., Particle swarm optimization: Classical and quantum perspectives, CRC Press.