this paper deals with a bi-objective hybrid no-wait flowshop scheduling problem minimizing the makespan and total weighted tardiness, in which we consider transportation times between stages. obtaining an optimal solution for this type of complex, large-sized problem in reasonable computational time by using traditional approaches and optimization tools is extremely difficult. this paper presen...

in distribution systems, in order to diminish power losses and keep voltage profiles within acceptable limits, network reconfiguration and capacitor placement are commonly used. in this paper, the hybrid shuffled frog leaping algorithm (hsfla) is used to optimize balanced and unbalanced radial distribution systems by means of a network reconfiguration and capacitor placement. high accuracy and ...

estimation of parameters of a hydrologic model is undertaken using a procedure called “calibration” in order to obtain predictions as close as possible to observed values. this study aimed to use the particle swarm optimization (pso) algorithm for automatic calibration of the hec-hms hydrologic model, which includes a library of different event-based models for simulating the rainfall-runoff pr...

The improvement of data-driven soft sensor modeling methods and techniques for the industrial process has strongly promoted development intelligent industry. Among them, ensemble learning is an excellent framework. Accuracy diversity are two key factors that run through entire stage building learning-based sensor. Existing base model generating or pruning always consider separately, which limit...

Retinal blood vessels are affected by a variety of eye diseases, including hypertensive retinopathy (HR) and diabetic (DR). A person with HR needs to be sure check their eyes regularly, which requires the use computer vision methods analyze images back help ophthalmologists automatically. Automated diagnostic systems useful for diagnosing different retinal diseases patients who need establish a...

Safety risk management has a considerable effect on disproportionate injury rate of construction industry, project cost and both labor and public morale. On the other hand time-cost optimization (TCO) may earn a big profit for project stakeholders. This paper has addressed these issues to present a multi-objective optimization model to simultaneously optimize total time, total cost and overall ...