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What is Facility Layout Optimization Using CGA about?

The article discusses optimizing facility layout planning for reconfigurable manufacturing systems using a chaotic genetic algorithm (CGA) with improved Tent mapping. It highlights the importance of dynamic facility layout in response to market demands and presents a multi-objective optimization model that minimizes material handling costs, equipment replacement costs, and maximizes area utilization. The proposed T-CGA method is shown to outperform traditional methods in terms of accuracy and efficiency.

Author

leids2023

Language

EN