Sentence examples for optimizer algorithms from inspiring English sources

The performance of new method compared to well placement optimizer algorithms, which is the combination of commercial flow simulator and evolutionary algorithms, was investigated in terms of the number of simulations and maximum net present value (NPV).

The optimization is done by the employment of the biogeography-based optimizer algorithm.

The proposed optimizer algorithm was compared with previous models and its accuracy has been confirmed.

In all the above experiments, for DNN training, we used the Adam optimizer algorithm, in mini batches, considering the Mean Squared Error (MSE) as cost function.

In this paper, a novel approach is adopted to construct a multilayer perceptron (MLP) hybrid model integrated with the Firefly Optimizer algorithm (MLP-FFA) trained with a limited set of historical (monthly) data (2004 2014) for a group of neighboring stations to predict windspeed at target sites in north-west Iran.

Molecular docking was performed with Autodock Vina (AD Vina) (Trott and Olson 2010), employing the iterated local search global optimizer algorithm (Baxter 1981; Abagyan et al. 1994).

They applied an intelligent multi-objective hybrid particle swarm optimization algorithm optimizer.

In this paper, two recent heuristic optimization algorithms are presented to optimally manage the operation of the micro-grid (MG) with installed renewable energy sources (RESs); krill herd (KH) optimization and ant lion optimizer (ALO) algorithms.

The main contribution of this paper is presenting a new methodology based on two recent optimization algorithms; krill herd (KH) and ant lion optimizer (ALO) algorithms, for solving the optimal management of micro-grid such that minimizing the operation cost and pollutant emission.

An improved optimization algorithm, group search optimizer with intraspecific competition and lévy walk, is then used to optimize the MV model by introducing the risk tolerance parameter.

An improved optimization algorithm, group search optimizer with intraspecific competition and lévy walk (GSOICLW), is then used to optimize the MV model by introducing the risk tolerance parameter.