The comparative study with 168 combinations of scheduling rules from the literature highlighted the superiority of the HH to minimize the Mean Completion Time.
A product-driven system with an evolutionary algorithm to increase flexibility in planning a job shop · Engineering, Computer Science. PLoS ONE · 2023.
Jul 19, 2021 · Dynamic scheduling of manufacturing systems is encountered in many real-world industries such as the food and pharmaceutical industries.
Our research on Smart Products and Hyper-Heuristics showcases a significant leap in system reactivity and performance optimization. By implementing Product- ...
Hyper-heuristics applications to manufacturing scheduling
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Heuristic-based approaches allow production systems to react quickly to unexpected events and disturbances. Thus, the term Hyper-Heuristic (HH) covers a wide ...
Dec 7, 2023 · Heuristic-based approaches allow production systems to react quickly to unexpected events and disturbances. Thus, the term Hyper-. Heuristic (HH) ...
Heuristic-based optimization algorithms can provide this necessary reactivity and agility. In this paper, a hyper-heuristic is proposed. A set of atomic rules ...
Bouazza, Dynamic scheduling of manufacturing systems: a product-driven approach using hyper-heuristics, International Journal of Computer Integrated�...
Jul 19, 2022 · This paper investigates a hyper-heuristic solution approach for the artificial teeth scheduling problem which originates from real-life production sites.
Feb 16, 2023 · This paper presents a product-driven job shop system model that includes an evolutionary algorithm to minimize the makespan.