target variable (steel price) movement. A generalized reduced gradient algorithm (GRG) method is employed to estimate the … comparisons are made. The study finds that the combining model formed with the gradient algorithm approach in which the weights … generated by a constrained generalized reduced gradient algorithm (GRG) method. …

In this paper, we describe the Factored Value MCTS Hybrid Cost-Max-Plus algorithm, a collection of decision … costs. Our proposed algorithm is made up of two steps. In the first step, each agent searches for the best individual … actions with the lowest cost using the Monte Carlo Tree Search (MCTS) algorithm. Each agent’s most promising activities are …

machine learning. We propose a novel adjusted learning algorithm based on peak price tracking for OLPS to tackle this … challenge. The algorithm is based on an aggressive strategy with residual information and transaction costs. We first propose an … adjusted online portfolio selection algorithm using Peak Price Tracking Approach (PPTA) to improve the accuracy of return …

algorithm. The other advantage of the proposed model lies in adapting the classifier with varying data patterns, which is …

Water Cycle Algorithm is used to optimize the wavelet kernel parameters and provide DKRVFLN-AE a better generalization and …

challenge in the port operation by upgrading the Gale-Shapley algorithm. Finally, it shows that the most critical presented AI … by using the recently developed matching algorithm. …

mixed integer programming (MIP). Then, the genetic algorithm (GA) is developed to solve the model and the solutions are … programming and the genetic algorithm is developed to solve the program. Novel chromosome encoding and population initializations …