Genetic Algorithm and its Applications to Mechanical Engineering: A Review

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Abstract

Genetic Algorithm is optimization method based on the mechanics of natural genetics and natural selection. Genetic Algorithm mimics the principle of natural genetics and natural selection to constitute search and optimization procedures.GA is used for scheduling to find the near to optimum solution in short time. In a genetic algorithm representation is done with variable length of sub-chromosome.GA is developed to generate the optimal order scheduling solution. GA is used as tool in different processes to optimize the process parameters. This paper reviews the genetic algorithms that are designed for solving multiple problems in applications of material science and manufacturing in field of mechanical engineering. Genetic algorithm is a multi-path algorithm that searches many peaks in parallel, hence reducing the possibility of local minimum trapping and solve the multi-objective optimization problems.

References (28)

  • D. Pisinger et al.

    A General Heuristic for Vehicle Routing Problems

    Computers & Operations Research

    (2007)
  • de-hua He et al.

    Optimization on Springback Reduction in Cold Stretch Forming of Titanium-Alloy Aircraft Skin

    Transaction of . Nonferrous Metal Society of China

    (2010)
  • Task Scheduling of AGV in FMS using Non Traditional Methods

    International Journal of Simulation Modeling

    (2010)
  • Evaluation of Genetic Algorithm Approach for Scheduling Optimization of Flexible Manufacturing Systems

    International Journal of Engineering Research and Applications (IJERA)

    (2012)
  • A Genetic Algorithm for Resource-Constrained Scheduling

    Thesis Submitted to The Massachusetts Institute of Technology

    (2009)
  • Solution to Multi-Depot Vehicle Routing Problem Using Genetic Algorithms

    World Applied Programming

    (2011)
  • Matib Yazid

    A Genetic Local Search Algorithm for Minimizing Total Weighted Tardiness in the Job-Shop Scheduling Problem

    Computers & Operations Research

    (2008)
  • Hindi Haitham

    Optimal Routing and Scheduling in Flexible Manufacturing Systems using Integer Programming

    46th IEEE Conference on Decision and Control

    (2008)
  • P. Asokan et al.

    Scheduling Optimisation of Flexible Manufacturing Systems Using Particle Swarm Optimisation Algorithm

    International Journal of Advance Manufacturing Technoly (2005)

    (2004)
  • C. Ardila et al.

    A Genetic Algorithm for Multiobjective Hard Scheduling Optimization

    Int. J. of Computers Communications & Control

    (2010)
  • Dr.A. Sreerama Reddy et al.

    A Review Of Soft Computing Techniques In Materials Engineering

    International Journal of Advanced Research in Engineering and Technology (IJARET)

    (2014)
  • A. Senthil Kumar, M.Adam Khan, and R.Thiraviam, Machining Parameters Optimization for Alumina Based ceramic Cutting...
  • Wiśniewski Jacek

    Optimal Design of Reinforcing Fibres in Multilayer Composites using Genetic Algorithms

    Fibres & Textiles in Eastern Europe

    (2004)
  • Roberto Teti D’addona

    Genetic Algorithm-Based Optimization of Cutting Parameters in Turning Processes

    Forty Sixth CIRP Conference On Manufacturing Systems

    (2013)
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    Selection and peer-review under responsibility of the conference committee members of the 4th International conference on Materials Processing and Characterization.

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