Genetic algorithm based product mix and material match

Authors:
Sk Ahad Ali;Robert de Souza;Zahid Hossain
Affiliations:
Nanyang Technological University, Singapore;Nanyang Technological University, Singapore;University of Oklahoma, Norman
Venue:
Second international workshop on Intelligent systems design and application
Year:
2002

Citing 3
Cited 0

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Genetic Algorithms and Manufacturing Systems Design

Genetic Algorithms and Manufacturing Systems Design

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Abstract

Genetic Algorithms (GA) are innovative search algorithms based on natural phenomena whose main advantages lie in solving mostly high complex problems. This paper provides how a conventional GA can effectively solve the Product Mix and Material Match problem. Some novel ideas in chromosome representation and evaluation are also addressed. This GA approach produces good results with fast convergence speed at the shop floor level, which is verified and validated via real world applications.