An adaptive hybrid approach: Combining genetic algorithm and ant colony optimization for integrated process planning and scheduling

An adaptive hybrid approach: Combining genetic algorithm and ant colony optimization for integrated process planning and scheduling

Optimization algorithms can differ in performance for a specific problem. Hybrid approaches, using this difference, might give a higher performance in many cases. This paper presents a hybrid approach of Genetic Algorithm (GA) and Ant Colony Optimization (ACO) specifically for the Integrated Process...

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Bibliographic Details
Main Authors: Mehmet Fatih Uslu, Süleyman Uslu, Faruk Bulut
Format: Article
Language:English
Published: Emerald Publishing 2022-03-01
Series:Applied Computing and Informatics
Subjects:
Optimization problems
Hybrid heuristics
IPPS
GA
ACO
Online Access:https://www.emerald.com/insight/content/doi/10.1016/j.aci.2018.12.002/full/pdf

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