chain.Design/methodology/approach: This paper proposes a two-phase heuristic algorithm to solve a 3-dimensional pallet … to evaluate the performance of the proposed heuristic algorithm in real-world instances (DHL Supply Chain). Findings: The … utilization, however, enhance the pallet stability. Finally, the proposed heuristic algorithm's efficacy increases as the …

-nearest neighbor algorithm, naïve Bayes, kernel naïve Bayes, decision trees, and support vector machine to distinguish between eleven … analysis (84.5%), k-NN algorithm (80.5%), and Gaussian naïve Bayes (71.3%). Accordingly, the choice of statistical machine … learning algorithm influences classification accuracy related to electric drive fault diagnosis. In addition, decision trees …

Artificial Pancreas (AP). In this control technique, Remora Optimization Algorithm (ROA) is used, which adjusts the controller …

study, we propose a modified Bayesian Boosting algorithm with weight-guided optimal feature selection for sentiment analysis … and utilizing an optimized boosting algorithm. The proposed algorithm leverages the strength of the Bayesian framework and …. The algorithm employs a modified Bayesian boosting algorithm to optimize the boosting process. It dynamically adjusts the …

-simulated annealing (ADE-SA) algorithm is proposed. Compared with the standard differential evolution (DE) algorithm, the adaptive … strategy of the SA algorithm compensates for the deficiency that DE's greedy strategy may fall into a local optimal solution …-SA is superior to the genetic algorithm, and average iteration, maximum completion time, and move time are 24%, 11%, and 7 …

algorithm considering a peer-to-peer (P2P) communication network, which enables asynchronous coordination among PEVs. First, an … information of individual users by equivalent transformation. Then, a cutting-plane based algorithm is derived to solve the …