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Meta algorithms
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This paper presents an enriched variation of the original Vehicle Routing Problem (VRP), in which traffic zones, CO2 emissions and heterogeneity of vehicles are all taken into consideration. Despite the extensive research already focused at VRP, its applicability in Supply Chain Management, has pushed researchers in investigating richer, and more realistic versions of VRP with various business constraints.
12p
longtimenosee07
29-03-2024
6
2
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The present research and model is aimed at presenting an integrated multi-objective optimal supply chain model of Sepah Bank's green supply chain in terms of model uncertainty using meta-heuristic algorithms and providing a suitable conceptual framework. In this regard, a multiobjective optimization model is presented and solved using fireworks algorithms based on Pareto Archive and NSGA-II. The green banking phenomenon has emerged with the same purpose in the banking system of the world and today it has made significant progress in theoretical and operational aspects.
11p
longtimenosee07
29-03-2024
2
2
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This study aimed to comprehensively evaluate the accuracy and effect of computed tomography (CT) and magnetic resonance imaging (MRI) based on artificial intelligence (AI) algorithms for predicting lymph node metastasis in breast cancer patients.
15p
vileonardodavinci
23-12-2023
3
2
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This study aims to propose a solution to handle the uncertainty and imprecise knowledge associated with the collected data using Interval type-2 fuzzy inference system, or IT2FIS. IT2FIS has been shown to be capable of generalizing functional relationship between input and output while reducing computational complexity.
6p
viannee
02-08-2023
5
4
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We propose 2 Medical Dictionary for Regulatory Activities–enabled pharmacovigilance algorithms, MetaLAB and MetaNurse, powered by a per-year meta-analysis technique and improved subject sampling strategy.
12p
visteverogers
24-06-2023
4
2
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In this paper, two meta-heuristic approaches, Differential evolution and Genetic algorithms were proposed to solve this problem. The optimal objectives are both the maximization of the length and the minimization of power peaking factor in a fuel cycle.
9p
vicedric
08-02-2023
3
3
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This study investigates the potential use of advanced DM approaches and proposes a meta-heuristic optimization algorithm – based prediction model. This prediction model integrates the artificial firefly colony algorithm and the machine learning prediction model.
5p
vilexus
05-10-2022
10
4
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This paper aims to apply the developed ADE to optimize truss structures subjected to frequency constraints. In addition, limitations of the AOA are also discussed, as well as how to overcome them. In each iteration, a randomly generated probability parameter is used to determine whether AOA or DE that would be used to generate new candidate solutions in the population.
16p
haoasakura
30-05-2022
11
1
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This paper suggests a new solution to conceal text messages in media by hybridizing a meta-heuristic algorithm of the Gravity search algorithm (GSA) and transposition method. Several stages are implemented, namely the concealment stage, extract stage, and evaluation metrics, whereas cover text and message text are split into blocks, and each block contains one letter, relying on the fitness value of related notes both of secret information and cover message.
9p
linyanjun_2408
21-04-2022
15
3
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In this paper a novel statistical approach for comparing meta-heuristic stochastic optimization algorithms according to the distribution of the solutions in the search space is introduced, known as extended Deep Statistical Comparison.
19p
guernsey
28-12-2021
10
0
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This research also demonstrates the effectiveness of DHACA compared with the previous studies such as Multi-objectives Genetic Algorithm (MOGA), Simulated Annealing Algorithm based Multi-objectives Genetic Algorithm (SAbased MOGA) on the CSLP. DHACA supports the construction site dynamic planning with constraints on facilities to improve work efficiency.
12p
inception36
30-11-2021
11
1
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This study contributes towards the ongoing research in detecting and mitigating slow HTTP DDoS attacks with emphasis on the use of machine learning classification and meta-heuristic algorithms.
28p
spiritedaway36
28-11-2021
17
1
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This research proposes a new Hybrid Meta-heuristic model which is a combination of Ant Colony Optimization algorithm (ACO), Bacterial foraging algorithm (BFA), and Pair-Wise Exchange Heuristic algorithm (PWEH). The proposed algorithm is named Dynamic Hybrid Ant Colony Algorithm (DHACA) model that can enhance local and global searches simultaneously. In addition, parameter values are optimized to create a better solution.
11p
chauchaungayxua12
09-07-2021
13
1
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Pathway analysis is widely applied in transcriptome analysis. Given certain transcriptomic changes, current pathway analysis tools tend to search for the most impacted pathways, which provides insight into underlying biological mechanisms.
12p
vijeeni2711
30-06-2021
7
1
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Goals of the dissertation: This thesis focuses on studying and developing meta-heuristic optimization methods and combines them with the Artificial Neural Network, which has advantages in approximating data, to build up a new algorithm for solving composite material structural optimization problems.
136p
monsterhunterer
20-06-2021
7
2
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Primary ciliary dyskinesia (PCD) is a rare genetic disorder. Although the genetic tests and new diagnostic algorithms have recently been recommended, clinical signs and electron microscope (EM) findings have historically been the mainstays of diagnosis in Asia.
11p
vimaine2711
26-03-2021
10
1
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In this paper, a new hybrid meta-heuristic algorithm for FCP called BHHS which combines the power of existing meta-heuristic frameworks such as Black Hole and Harmony Search is proposed. These two algorithms cooperate and support each other. The Black Hole part of the algorithm has the goal to find good candidate solution while the Harmony Search part has the goal to generate new candidate solutions for Black Hole when the event horizon of the Black Hole occurs. In addition, new best solutions of these two components are exchanged with each other to improve the quality of the search.
7p
chauchaungayxua11
23-03-2021
15
1
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MicroRNAs (miRNAs) are identified in nearly all plants where they play important roles in development and stress responses by target mRNA cleavage or translation repression. MiRNAs exert their functions by sequence complementation with target genes and hence their targets can be predicted using bioinformatics algorithms.
7p
viwyoming2711
16-12-2020
10
0
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Accurately predicted contacts allow to compute the 3D structure of a protein. Since the solution space of native residue-residue contact pairs is very large, it is necessary to leverage information to identify relevant regions of the solution space, i.e. correct contacts.
11p
viflorida2711
30-10-2020
17
3
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In this research, we put the development of a no-wait flow-shop scheduling model alongside with the effect of learning into consideration to minimize the cost of consumption of resources.
20p
tohitohi
22-05-2020
41
0
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