Building collaborative applications is still a challenging task. A collaborative application can be viewed as a class of distributed shared memory system. A distinctive property of these systems is their memory consistency model. In this paper, we argue that there is a relationship between different collaboration styles, on the one hand, and different memory consistency models, on the other. In...

Abstract Deregulation in power system and increased demand has introduced congestion system. With the depletion of fossil fuels, sector turned towards incorporation Renewable Energy Systems through private generators. This paper focuses on non-cost-free method to mitigate by rescheduling generators for their active output. The is done such a way that cost minimum. presents new merge two tested ...

Mechanical properties are important indicators for evaluating the quality of strips. This paper proposes a mechanical performance prediction model based on Gray Wolf Optimization (GWO) algorithm and Extreme Learning Machine (ELM) algorithm. In modeling process, GWO is used to determine optimal weights deviations ELM experiments model’s key parameters. The effectively avoids manual intervention ...

Abstract A grey wolf optimization algorithm based on an adaptive adjustment strategy (Improvements-Grey Wolf Optimization, IGWO) is proposed in this paper to address the issues with Grey Optimization (GWO) algorithm, which has a slow convergence speed later stages and where local search global cannot be taken into effective balance. First, chaotic logistic map used initialize population. Next, ...

This study presents a novel training algorithm depending upon the recently proposed Fitness Dependent Optimizer (FDO). The stability of this has been verified and performance-proofed in both exploration exploitation stages using some standard measurements. influenced our target to gauge performance multilayer perceptron neural networks (MLP). combines FDO with MLP (codename FDO-MLP) for optimiz...

Under harsh geographical conditions where manned flight is not possible, the ability of unmanned aerial vehicle (UAV) to successfully carry out payload hold–release mission by avoiding obstacles depends on optimal path planning and tracking performance UAV. The UAV plan track with minimum energy time consumption possible using parameters. This study performs optimum Harris hawk optimization (HH...

Colorectal cancer (CRC) is one of the most common malignant cancers worldwide. To reduce mortality, early diagnosis and treatment are essential in leading to a greater improvement survival length patients. In this paper, hybrid feature selection technique (RF-GWO) based on random forest (RF) algorithm gray wolf optimization (GWO) was proposed for handling high dimensional redundant datasets col...

Advanced global optimization algorithms have been continuously introduced and improved to solve various complex design optimization problems for which the objective and constraint functions can only be evaluated through computation intensive numerical analyses or simulations with a large number of design variables. The often implicit, multimodal, and ill-shaped objective and constraint function...

Early diagnosis of autism is extremely beneficial for patients. Traditional approaches have been unable to diagnose in a fast and accurate way; rather, there are multiple factors that can be related identifying the disorder. The gene expression (GE) individuals may one these factors, addition personal behavioral characteristics (PBC). Machine learning (ML) based on PBC GE data analytics emphasi...

Economic load dispatch (ELD) provides significant benefits to the operation of power system. It appears be a complex nonconvex optimization problem subject several equal and unequal constraints. The greedy sine-cosine nonhierarchical gray wolf optimizer (G-SCNHGWO) is introduced in this study solve ELD problems efficiently robustly. sine cosine functions assist search agents grey (GWO) algorith...