With these three metrics, we develop a heuristic algorithm to resolve the MRP.
We propose a novel algorithm to resolve the violations of local constraints.
To solve the optimization, we adopt a gradient descent algorithm to resolve the optimization problem.
In Section 6, this expression tree is used in a dynamic programming algorithm to resolve the transmit ambiguities.
Therefore, this paper aims to attempt to explore an improved parallel algorithm to resolve the problem by considering user's requirement.
Hence, we propose another algorithm to resolve the difficulties in D-SBRA by further resorting to partial dual decomposition (referred to as P-SBRA) [21].
Although the LP has an exponential number of constraints, the authors use a separation algorithm to resolve the LP a polynomial number of times.
In this article, we propose a new spring-model algorithm to resolve the problems mentioned above with the presence of anchors.
The work of Kulis [58], referred to as the asymmetric regularized cross-domain Transformation (ARC-t), proposes an asymmetric transformation algorithm to resolve the heterogeneous feature space between domains.
This paper presents a new particle swarm optimization (PSO) algorithm, called the PSO-IAC algorithm, to resolve the goal of reaching with the obstacle avoidance problem for a 6-DOF manipulator of the home service robot.
This work proposes a data mining approach, consisting of four stages based on artificial neural networks (ANN), desirability functions, and a simulated annealing (SA) algorithm to resolve the problems of dynamic parameter design with multiple responses.
