Evolutionary Optimization in MPS: A Brief Review

Forfattere

  • S. Radhika
  • Ch. Srinivasa Rao
  • K. Lakshmi Chaitanya
  • M. Vijaya

Resumé

Master production scheduling (MPS) is a combinatorial optimization problem that arises frequently in real-life applications. Because of the complexity and the vast search space, conventional optimization methods such as mathematical programming, dynamic programming and branch-and-bound technique are computationally infeasible. Evolutionary approach-based meta-heuristics have gained prominence in recent years for solving multi-objective optimization problems (MOP). Multi-objective evolutionary approaches (MOEAs) have substantial success across a variety of real-world engineering applications. The present review attempts to provide a general overview of the work thathas been done in the last two decades in MOEAs in line with MPS problems.Keywords: Master production scheduling, Multi-objective optimization, Evolutionary optimization

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Publiceret

2014-05-06

Nummer

Årg. 4 Nr. 1 (2014)

Sektion

Review Articles

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