MOBCA: Multi-Objective Besiege and Conquer Algorithm
BiomimeticsThe besiege and conquer algorithm has shown excellent performance in single-objective optimization problems. However, there is no literature on the research of the BCA algorithm on multi-objective optimization problems.
Jianhua Jiang +4 more
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Human Resource Scheduling Model and Algorithm with Time Windows and Multi-Skill Constraints
Mathematics, 2019 In situations where an organization has limited human resources and a lack of multi-skilled employees, organizations pay more and more attention to cost control and personnel arrangements. Based on the consideration of the service personnel scheduling as
Zhiping Zuo +3 more
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Red piranha optimization (RPO): a natural inspired meta-heuristic algorithm for solving complex optimization problems. [PDF]
J Ambient Intell Humaniz Comput, 2023 Rabie AH, Saleh AI, Mansour NA.
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A new meta-heuristic pathfinder algorithm for solving optimal allocation of solar photovoltaic system in multi-lateral distribution system for improving resilience [PDF]
, 2021 Varaprasad Janamala
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Comparative study of meta-heuristic 3D floorplanning algorithms
Neurocomputing, 2015 Constant necessity of improving performance has brought the invention of 3D chips. The improvement is achieved due to the reduction of wire length, which results in decreased nterconnection delay. However, 3D stacks have less heat dissipation due to the inner layers, which leads to increased temperature and the appearance of hot spots. This problem can
Alfredo Cuesta-Infante +7 more
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EEG signals classification using a new radial basis function neural network and jellyfish meta-heuristic algorithm. [PDF]
Evol Intell, 2022 Rastegar H, Giveki D, Choubin M.
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Choice Function-Based Hyper-Heuristics for Causal Discovery under Linear Structural Equation Models
BiomimeticsCausal discovery is central to human cognition, and learning directed acyclic graphs (DAGs) is its foundation. Recently, many nature-inspired meta-heuristic optimization algorithms have been proposed to serve as the basis for DAG learning.
Yinglong Dang +2 more
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Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images. [PDF]
Front Oncol, 2022 A A +6 more
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Sine Cosine Crow Search Algorithm: A powerful hybrid meta heuristic for\n global optimization [PDF]
, 2018 Seyed Hamid Reza Pasandideh +1 more
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G-optimal designs for hierarchical linear models: an equivalence theorem and a nature-inspired meta-heuristic algorithm. [PDF]
Soft comput, 2021 Liu X, Yue R, Zhang Z, Wong WK.
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