A memory-guided Jaya algorithm to solve multi-objective optimal power flow integrating renewable energy sources.
The traditional optimal power flow problem (OPF) usually centers on thermal generators,
which have limited fuel for power generation, while emissions from the network system are …
which have limited fuel for power generation, while emissions from the network system are …
[HTML][HTML] A multi-objective African vultures optimization algorithm with binary hierarchical structure and tree topology for big data optimization
B Liu, Y Zhou, Y Wei, Q Luo - Journal of Advanced Research, 2024 - Elsevier
Abstract Introduction Big data optimization (Big-Opt) problems present unique challenges in
effectively managing and optimizing the analytical properties inherent in large-scale …
effectively managing and optimizing the analytical properties inherent in large-scale …
A nature-inspired meta-heuristic knowledge-based algorithm for solving multiobjective optimization problems
The effectiveness of meta-heuristics has recently been well demonstrated. However, there
will be a need for reliable algorithms that can handle problems in the real world. The …
will be a need for reliable algorithms that can handle problems in the real world. The …
A Hybrid Initialization and Effective Reproduction-Based Evolutionary Algorithm for Tackling Bi-Objective Large-Scale Feature Selection in Classification
H Xu, C Huang, H Wen, T Yan, Y Lin, Y **e - Mathematics, 2024 - mdpi.com
Evolutionary algorithms have been widely used for tackling multi-objective optimization
problems, while feature selection in classification can also be seen as a discrete bi-objective …
problems, while feature selection in classification can also be seen as a discrete bi-objective …
Advancing Feature Ranking with HFRWM2: A Weighted Majority Voting Strategy Enhanced by the Harris Hawks Optimizer
Feature selection (FS) is vital in improving the performance of machine learning (ML)
algorithms. Despite its importance, identifying the most important features remains …
algorithms. Despite its importance, identifying the most important features remains …
Advancing feature ranking with hybrid feature ranking weighted majority model: a weighted majority voting strategy enhanced by the Harris hawks optimizer
Feature selection (FS) is vital in improving the performance of machine learning (ML)
algorithms. Despite its importance, identifying the most important features remains …
algorithms. Despite its importance, identifying the most important features remains …
A Multi-Task Decomposition-Based Evolutionary Algorithm for Tackling High-Dimensional Bi-Objective Feature Selection
H Xu, C Huang, J Lin, M Lin, H Zhang, R Xu - Mathematics, 2024 - mdpi.com
Evolutionary algorithms have been widely applied for solving multi-objective optimization
problems, while the feature selection in classification can also be treated as a discrete bi …
problems, while the feature selection in classification can also be treated as a discrete bi …
Stochastic Pickup and Delivery Problem: A Bibliometric Review of Research Using VOSviewer
H Aydi, S Chtourou, A Frikha - 2024 International Conference …, 2024 - ieeexplore.ieee.org
In this paper, we utilize the bibliometric review software VOSviewer to investigate the extent
of existing research and emerging trends associated with the Stochastic Pickup and Delivery …
of existing research and emerging trends associated with the Stochastic Pickup and Delivery …
Multi-Stage Stochastic Models for Hydropower Generation in a Target-Priority Reservoir with Quasi-Dependent Inflows
N Saadouli, L Tahat - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
In this paper, we investigate the water reservoir operation problem under conditions of
stochastic water inflows and exogenous operational constraints. The objective is to …
stochastic water inflows and exogenous operational constraints. The objective is to …
Optimal Algorithm for Managing On-Campus Student Transportation
Y Harrath, J AlYusuf, Z Ghulam… - … on Decision Aid …, 2024 - ieeexplore.ieee.org
This study analyzed the transportation issues at the University of Bahrain Sakhir campus,
where a bus system with an unorganized and fixed number of buses allocated each …
where a bus system with an unorganized and fixed number of buses allocated each …