Search alternatives:
joint optimization » policy optimization (Expand Search), wolf optimization (Expand Search), codon optimization (Expand Search)
field optimization » lead optimization (Expand Search), guided optimization (Expand Search), linear optimization (Expand Search)
levels based » level based (Expand Search), models based (Expand Search), cells based (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based field » pulsed field (Expand Search)
joint optimization » policy optimization (Expand Search), wolf optimization (Expand Search), codon optimization (Expand Search)
field optimization » lead optimization (Expand Search), guided optimization (Expand Search), linear optimization (Expand Search)
levels based » level based (Expand Search), models based (Expand Search), cells based (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based field » pulsed field (Expand Search)
-
1
-
2
The flowchart of Algorithm 2.
Published 2024“…To solve this optimization model, a multi-level optimization algorithm is designed. …”
-
3
-
4
Train stopping plan.
Published 2024“…To solve this optimization model, a multi-level optimization algorithm is designed. …”
-
5
Major notations.
Published 2024“…To solve this optimization model, a multi-level optimization algorithm is designed. …”
-
6
S1 File -
Published 2024“…To solve this optimization model, a multi-level optimization algorithm is designed. …”
-
7
Stress and frequency optimization of prismatic sandwich beams with structural joints: Improvements through accelerated topology optimization
Published 2025“…Although they resemble conventional beams, optimized core topologies with joints highlight additional improvements and underscore the importance of joint design in optimization. …”
-
8
-
9
The Pseudo-Code of the IRBMO Algorithm.
Published 2025“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”
-
10
Parameter settings of the comparison algorithms.
Published 2024“…<div><p>Feature selection is an important solution for dealing with high-dimensional data in the fields of machine learning and data mining. In this paper, we present an improved mountain gazelle optimizer (IMGO) based on the newly proposed mountain gazelle optimizer (MGO) and design a binary version of IMGO (BIMGO) to solve the feature selection problem for medical data. …”
-
11
Datasets and their properties.
Published 2023“…<div><p>Feature selection problem represents the field of study that requires approximate algorithms to identify discriminative and optimally combined features. …”
-
12
Parameter settings.
Published 2023“…<div><p>Feature selection problem represents the field of study that requires approximate algorithms to identify discriminative and optimally combined features. …”
-
13
IRBMO vs. meta-heuristic algorithms boxplot.
Published 2025“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”
-
14
IRBMO vs. feature selection algorithm boxplot.
Published 2025“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”
-
15
-
16
-
17
-
18
-
19
Supplementary information files for "A robust shard inspection framework with efficient throughput and energy consumption for secure geolocation-based sharded blockchains"
Published 2025“…We then develop a distributed algorithm that enables dividing the optimization problem into sub-problems solvable independently by each shard. …”
-
20