Automatic design of machine learning via evolutionary computation: A survey
Abstract Machine learning (ML), as the most promising paradigm to discover deep
knowledge from data, has been widely applied to practical applications, such as …
knowledge from data, has been widely applied to practical applications, such as …
Enhancing learning efficiency of brain storm optimization via orthogonal learning design
In brain storm optimization (BSO), the convergent operation utilizes a clustering strategy to
group the population into multiple clusters, and the divergent operation uses this cluster …
group the population into multiple clusters, and the divergent operation uses this cluster …
A reinforcement learning approach for flexible job shop scheduling problem with crane transportation and setup times
Y Du, J Li, C Li, P Duan - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
Flexible job shop scheduling problem (FJSP) has attracted research interests as it can
significantly improve the energy, cost, and time efficiency of production. As one type of …
significantly improve the energy, cost, and time efficiency of production. As one type of …
Decomposition-based multiobjective optimization for constrained evolutionary optimization
Pareto dominance-based multiobjective optimization has been successfully applied to
constrained evolutionary optimization during the last two decades. However, as another …
constrained evolutionary optimization during the last two decades. However, as another …
Artificial bee colony algorithm based on knowledge fusion
Artificial bee colony (ABC) algorithm is one of the branches of swarm intelligence. Several
studies proved that the original ABC has powerful exploration and weak exploitation …
studies proved that the original ABC has powerful exploration and weak exploitation …
Information-utilization-method-assisted multimodal multiobjective optimization and application to credit card fraud detection
Different from multiobjective optimization problems (MOPs), multimodal MOPs (MMOPs)
focus on both decision and objective spaces rather than only objective one. Thus, finding a …
focus on both decision and objective spaces rather than only objective one. Thus, finding a …
Swarm intelligence RFID network planning using multi-antenna readers for asset tracking in hospital environments
M Shokouhifar - Computer Networks, 2021 - Elsevier
Radio frequency identification (RFID) systems have been widely used for the inventory
management and asset tracking in hospital industry. Although the total cost of an RFID …
management and asset tracking in hospital industry. Although the total cost of an RFID …
A hybrid multiobjective memetic algorithm for multiobjective periodic vehicle routing problem with time windows
J Wang, W Ren, Z Zhang, H Huang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Periodic vehicle routing problem with time windows (PVRPTWs) is an important
combinatorial optimization problem that can be applied in different fields. It is essentially a …
combinatorial optimization problem that can be applied in different fields. It is essentially a …
Mayfly sparrow search hybrid algorithm for RFID network planning
J Zhang, J Zheng, X **e, Z Lin, H Li - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
The radio frequency identification (RFID) technology is frequently used for large-scale RFID
network planning, which brings thought-provoking RFID network planning (RNP) problems …
network planning, which brings thought-provoking RFID network planning (RNP) problems …
Heartbeat sound classification using a hybrid adaptive neuro-fuzzy inferences system (ANFIS) and artificial bee colony
P Keikhosrokiani, AB Naidu A/P Anathan… - Digital …, 2023 - journals.sagepub.com
Cardiovascular disease is one of the main causes of death worldwide which can be easily
diagnosed by listening to the murmur sound of heartbeat sounds using a stethoscope. The …
diagnosed by listening to the murmur sound of heartbeat sounds using a stethoscope. The …