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Opposition -based genetic algorithm approach to flexible job-shop scheduling problem
(2022)
Production scheduling, or flexible job-shop scheduling problem in specific, has widely been
a regular practice for most manufacturing firms, it is necessary for businesses to come up
with the best schedules in the most ...
An Optimization Method For Integrated Yard Crane And Truck Scheduling Using Genetic Algorithm And Simulation: A Case Of Tan Cang Cat Lai Port
(2022)
With the development of global integration, global trade makes it urgent for every country
to develop port and terminal infrastructure and logistics services. In ports and terminals,
transporting vehicles like yard cranes ...
Application Of Metaheuristics To The Training Of Artificial Neural Network For Control Chart Pattern Recognition
(2022)
Quality management particularly and total quality management in general have always been
a major concern on various perspectives of industrial engineering. In the 4.0 era, quality
control process has become one of the ...
A hybrid improved case-based reasoning approach and metaheuristics for cost estimation
(2022)
This study developed a cost predicting model based on a combination of Case Based
Reasoning (CBR) and Genetic Algorithm (GA) to optimize the impact of attributes that
forecast the installation cost for a new production ...