This study introduces an enhanced self-adaptive wild goose algorithm (SAWGA) for solving economical-environmental-technical optimal power flow (OPF) problems in traditional and modern energy systems. Leveraging adaptive search strategies and robust diversity capabilities, SAWGA distinguishes itself from clas...
A convolutional neural network (CNN) is a deep learning algorithm, which can be utilized in various engineering fields due to its superior prediction and classification performance. In recent years, CNN that is known to be outstanding to handle large volumes of data, it is has been in the ...
This work implements the recently developed nth state Markovian jumping particle swarm optimisation (PSO) algorithm with local search (NS-MJPSOloc) awareness method to address the economic/environmental dispatch (EED) problem. The proposed approach, known as the Non-dominated Sorting Multi-objective PS...
Therefore, in this paper, a non-dominated sorting multi-objective symbiotic organism search (NSMOSOS) algorithm is proposed to generate the optimal feature subset in BCI. The efficiency and robustness of the proposed algorithm as a feature selection method is investigated in two datasets based on ...
alleviate computational and statistical drawbacks of optimal transport theory—on tree metrics. Sato et al [42] furthermore propose an extremely fast algorithm that solves the optimal transport problem to compute Wasserstein distances on a tree with one million nodes in less than one second. The set...
(2000). A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. In International conference on parallel problem solving from nature (pp. 849–858). Springer, Berlin, Heidelberg. Evensen, P., Stien, H., & Helge Bentsen, D. (2018). Modeling battle ...
We then present the Optimal Completion of Incomplete gene Tree Algorithm (OCTAL), a greedy polynomial time algorithm that we prove solves the RF Optimal Completion problem exactly. We also present results from an experimental study on simulated datasets comparing OCTAL to a heuristic for gene tree ...
When cell labels do not exist, labels may be inferred using a clustering algorithm, or via another data modality4. Similarly, the label hierarchy for input to our method can be expert-provided14, or inferred via a hierarchical clustering algorithm. We assessed scGeneFit’s performance in both...
There also exists a large body of works devoted to implementing algorithms for APSP that are suboptimal but practically fast on real-world datasets; see [5], [14], [9] and references therein for some of the state-of-the-art implementations. For a parallel implementation of the algorithm by...
The algorithm obtains linear inequality constraints by analyzing the quadratic equality constraints mathematically, ensuring problem feasibility. For multi-objective optimization, some improved QP methods have been introduced. Ref. [58] proposed a method for simultaneously optimizing the location and capacity...