A combination weighting method for debris flow risk assessment based on t-distribution and linear programming optimization algorithm. by Li Li (14993)

A combination weighting method for debris flow risk assessment based on t-distribution and linear programming optimization algorithm. by Li Li (14993)

Effects of the compiler (gcc 6.3.1) optimization level on the WCET (the lower the better). by Alba Pedro-Zapater (8600382)

Cut-based matheuristic algorithms to detect tacit collusion in deregulated electricity markets by Murat Elhüseyni (20744561)

“…In order to detect such collusions, we consider a non-linear bi-level problem formulation. The original bi-level formulation is reformulated using two alternative mixed integer linear programming formulations utilizing the linear programming property of the lower level and various linearization methods. …”

GA algorithm. by Liangliang Yang (3814120)

“…The proposed ELM neural network model was optimized using a genetic algorithm and combined with the linear regression model to establish a predictive model. …”

GA-ELM algorithm. by Liangliang Yang (3814120)

“…The proposed ELM neural network model was optimized using a genetic algorithm and combined with the linear regression model to establish a predictive model. …”

Parameter sets of the chosen algorithms. by WanRu Zhao (18980374)

“…The wild horse optimizer (WHO) is a new metaheuristic algorithm based on the social behavior of wild horses. …”

The flow chart of IERWHO algorithm. by WanRu Zhao (18980374)

“…The wild horse optimizer (WHO) is a new metaheuristic algorithm based on the social behavior of wild horses. …”

The flow chart of WHO algorithm. by WanRu Zhao (18980374)

“…The wild horse optimizer (WHO) is a new metaheuristic algorithm based on the social behavior of wild horses. …”

Function graph and algorithm iterative graph. by WanRu Zhao (18980374)

“…The wild horse optimizer (WHO) is a new metaheuristic algorithm based on the social behavior of wild horses. …”

The convergence curves of all the 10 algorithms. by WanRu Zhao (18980374)

“…The wild horse optimizer (WHO) is a new metaheuristic algorithm based on the social behavior of wild horses. …”

A visualization of the N-SRS tree-based model. by Agni Orfanoudaki (8878097)

Subjects:

Score of evaluation level. by Yixuan Lu (9987980)

QSAR model for predicting neuraminidase inhibitors of influenza A viruses (H1N1) based on adaptive grasshopper optimization algorithm by Z.Y. Algamal (5547620)

“…Obtaining a reliable QSAR model with few descriptors is an essential procedure in chemometrics. The binary grasshopper optimization algorithm (BGOA) is a new meta-heuristic optimization algorithm, which has been used successfully to perform feature selection. …”

Testing algorithm for modified 2-tiered approaches to Lyme disease diagnosis. by Richard Porwancher (11413931)

AFO-ideal point method algorithm flowchart. by Yuhua Zhu (413349)

“…The Aptenodytes Forsteri Optimization (AFO) algorithm is combined with the Ideal Point Method to solve the model, and the algorithm is compared with the Particle Swarm Optimization (PSO), Differential Evolutionary (DE), Tabu Search (TS), Sparrow Search (SS) algorithms, and the exact solver Linear Interactive and General Optimizer (LINGO). …”

DataSheet1_Barrier-free tomato fruit selection and location based on optimized semantic segmentation and obstacle perception algorithm.docx by Lingli Zhou (539752)

“…To enrich the dataset for tomato harvesting, synthetic data were generated by rendering a 3D simulated model of the tomato greenhouse environment, and automatically producing corresponding pixel-level semantic segmentation labels. An attention-based spatial-relationship feature extraction module (SFM) with lower computational complexity was designed to enhance the ability of semantic segmentation network DeepLab v3+ in accurately segmenting linear-structured obstructions such as stems and wires. …”

Secure MANET routing with blockchain-enhanced latent encoder coupled GANs and BEPO optimization by Sandeep Jagonda Patil (22048337)

“…To tackle these challenges, this paper proposes the Blockchain Based Trusted Distributed Routing Scheme for MANET using Latent Encoder Coupled Generative Adversarial Network Optimized with Binary Emperor Penguin Optimizer (LEGAN-BEPO-BCMANET). …”

The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

“…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. …”

DataSheet_1_Based on machine learning algorithms for estimating leaf phosphorus concentration of rice using optimized spectral indices and continuous wavelet transform.pdf by Yi Zhang (9093)