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Dec 15, 2025
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ISE 7100 - Genetic Algorithms in Manufacturing
Genetic algorithms are search algorithms based on the mechanics of natural selection and natural genetic operators such as crossover and mutation. Genetic algorithms and evolutionary computation concepts will be presented. Their application to engineering problems in manufacturing system design, scheduling, lot sizing, layout, constrained optimization, vehicle routing and other network problems will be emphasized. In addition, their connections to other artificial intelligence paradigms, such as genetic programming, fuzzy logic, and artificial immune system will be introduced.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes:
- Apply Genetic Algorithm concepts to solve various problems.
- Formulate various problems of practical importance.
- Understand different problem solving approaches and compare them.
- Use Genetic Algorithm Software for some selected problems.
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