A review on the studies employing artificial bee colony algorithm to solve combinatorial optimization problems
The ABC algorithm is one of the popular optimization algorithms and has been used
successfully in solving many real-world problems. Numeric, binary, integer, mixed integer …
successfully in solving many real-world problems. Numeric, binary, integer, mixed integer …
Review of meta-heuristic algorithms for wind power prediction: Methodologies, applications and challenges
The integration of large-scale wind power introduces issues in modern power systems
operations due to its strong randomness and volatility. These issues can be resolved via …
operations due to its strong randomness and volatility. These issues can be resolved via …
Robust real-time polyp detection system design based on YOLO algorithms by optimizing activation functions and hyper-parameters with artificial bee colony (ABC)
Colorectal cancer (CRC) is one of the most common cancer types with a high mortality rate.
Colonoscopy is considered the gold standard in CRC screening, it also provides immediate …
Colonoscopy is considered the gold standard in CRC screening, it also provides immediate …
MOMPA: Multi-objective marine predator algorithm
K Zhong, G Zhou, W Deng, Y Zhou, Q Luo - Computer Methods in Applied …, 2021 - Elsevier
In this paper, a multi-objective version of the recently proposed marine predator algorithm
(MPA) is presented, which is called the multi-objective marine predator algorithm (MOMPA) …
(MPA) is presented, which is called the multi-objective marine predator algorithm (MOMPA) …
[HTML][HTML] A review on optimal energy management in commercial buildings
The rising cost and demand for energy have prompted the need to devise innovative
methods for energy monitoring, control, and conservation. In addition, statistics show that …
methods for energy monitoring, control, and conservation. In addition, statistics show that …
A practical tutorial on solving optimization problems via PlatEMO
PlatEMO is an open-source platform for solving complex optimization problems, which
provides a variety of metaheuristics including evolutionary algorithms, swarm intelligence …
provides a variety of metaheuristics including evolutionary algorithms, swarm intelligence …
[HTML][HTML] Optimal scheduling for palletizing task using robotic arm and artificial bee colony algorithm
Palletizing using robotic arms is a common aspect of industrial robotization. Due to its
efficiency, the robotic arm is often able to handle more then one production line. In such a …
efficiency, the robotic arm is often able to handle more then one production line. In such a …
[HTML][HTML] Optimized functional linked neural network for predicting diaphragm wall deflection induced by braced excavations in clays
C Xie, H Nguyen, Y Choi, DJ Armaghani - Geoscience Frontiers, 2022 - Elsevier
Deep excavation during the construction of underground systems can cause movement on
the ground, especially in soft clay layers. At high levels, excessive ground movements can …
the ground, especially in soft clay layers. At high levels, excessive ground movements can …
A systematic review of the emerging metaheuristic algorithms on solving complex optimization problems
The scientific field of optimization has witnessed an increasing trend in the development of
metaheuristic algorithms within the current decade. The vast majority of the proposed …
metaheuristic algorithms within the current decade. The vast majority of the proposed …
A problem-specific knowledge based artificial bee colony algorithm for scheduling distributed permutation flowshop problems with peak power consumption
A distributed permutation flowshop scheduling problem (DPFSP) with peak power
consumption is addressed in this work. The instantaneous energy consumption of each …
consumption is addressed in this work. The instantaneous energy consumption of each …