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Genetic Algorithms vs Evolutionary Programming in Cutting Stock Problem by yousifsahar4 is a document available to read on EtoBox.
This document presents a comparison between Genetic Algorithms (GA) and Evolutionary Programming (EP) in solving the Cutting Stock Problem (CSP), a significant optimization challenge in industrial engineering. It reviews the effectiveness of both methods, discusses their similarities and differences, and proposes an improved algorithm that combines the two approaches. The paper concludes with suggestions for future research directions in this area.
- Author
- yousifsahar4
- Language
- EN