Order scheduling optimization in manufacturing enterprises based on MDP and dynamic programming. [PDF]
Wulan Q.
europepmc +1 more source
Medical Image Classification Using Transfer Learning and Chaos Game Optimization on the Internet of Medical Things. [PDF]
Mabrouk A +4 more
europepmc +1 more source
How Much Is Too Much? Facing Practical Limitations in Hyper-Heuristic Design for Packing Problems
Hyper-heuristics, or simply heuristics to choose heuristics, represent a powerful approach to tackling complex optimization problems. These methods decide which heuristic to apply throughout the solving process, aiming to improve the solving process ...
José Carlos Ortiz-Bayliss +2 more
doaj +1 more source
A Novel Hyper-Heuristic Algorithm for Bayesian Network Structure Learning Based on Feature Selection
Bayesian networks (BNs) are effective and universal tools for addressing uncertain knowledge. BN learning includes structure learning and parameter learning, and structure learning is its core.
Yinglong Dang +2 more
doaj +1 more source
An Efficient Adaptive Salp Swarm Algorithm Using Type II Fuzzy Entropy for Multilevel Thresholding Image Segmentation. [PDF]
Mahajan S +5 more
europepmc +1 more source
Robotic Mobile Fulfillment Systems (RMFS) are an example of warehouse automation. Nonetheless, the complexity of RMFS is such that tackling the entire problem at once is unfeasible. So, this work focuses on a component known as the Pod Allocation Problem
Maria Torcoroma Benavides-Robles +3 more
doaj +1 more source
A hyper-matheuristic approach for solving mixed integer linear optimization models in the context of data envelopment analysis. [PDF]
Gonzalez M +3 more
europepmc +1 more source
A steady state micro genetic algorithm for hyper-heuristic generation in one-dimensional bin packing
The one-dimensional bin packing problem (1DBPP) is a well-known NP-hard problem in computer science and operations research that involves many real-world applications.
Julio Juárez +2 more
doaj +1 more source
HyFlex: A Flexible Framework for the Design and Analysis of Hyper-heuristics [PDF]
Despite the success of heuristic search methods in solving real-world computational search problems, it is often still difficult to easily apply them to new problems, or even new instances of similar problems.
Hyde Graham +3 more
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