Apply Simulated Annealing on a curve to find the optimum

Similar to the dataset_simulated_annealing_optimizer worker, which takes a dataset as input, we can consider the curve_simulated_annealing_optimizer worker. It takes a curve as input and returns the optimal y value of the curve as output. A curve can be considered as a dataset with two columns with each representing one coordinate...

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Simulated Annealing with Polynomial Regression

Simulated annealing Simulated annealing is an optimization method to find the global optimum of the objective function. It is inspired by the process of metal annealing which heats the metal to a very high level and cools down in a controlled manner. In the SA algorithm, a random point is...

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Compare curves with Dynamic Time Warping

Given two curves, a baseline and a candidate curve, how do we know how similar they are to each other? In machine learning, it is common to compare the predicted values (candidate curve) of a testing set to the true values (baseline curve) by RMSE (Root Mean Square Error). By...

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Choose Machine Learning Models With Cross Validation

Machine learning techniques (https://www.d3view.com/introduction-and-application-of-d3view-ml/) are becoming unprecedentedly popular. And it plays an important role in data analysis. It is critical to find the model that demonstrates the best performance. Intuitively, we can build a few different models with the data given and see which model gives the best score, either...

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Introducing Calendar View for Simulations and Physical Tests

Many of us would agree that calendars play an important role in our day-to-day life aiding in tracking events, staying on top of task completion, etc. Calendar in d3VIEW helps keep track of Simulations and Physical tests records created by users in an organized manner. How to access Calendar: All...

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Workflow Provider: Execute Workflows within a Workflow

d3VIEW has a new worker called ‘Workflow Provider’ which allows us to execute other workflows we may have saved on the platform within the current one we are building and executing. This saves us time from rebuilding parts of a workflow that can be taken from an already built one....

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Text Parameterize GUI: A Workflow Tool to Parameterize Input Files

The new ‘Text Parameterize GUI’ worker helps to create machine generated designs by providing a simple to use interface to parameterize any part of a text file. Examples of such applications include single stage Design of Experiments, Sensitivity Analyses, Multi-stage Optimization and for generic machine learning problems. Locate the ‘Text...

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Multi-objective optimization with Pareto front

Optimization Decisions are made based on preferences. Either it is to minimize the monthly expense for a person living with a tight budget or to maximize the revenue of a restaurant for a business owner, we need to consider our preference or criteria (minimize or maximize) to form a solution....

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Kriging interpolation

In the previous post, we have discussed about how interpolation works in general and reviewed a few commonly used interpolation methods. All these methods only consider the adjacent a few points. This works fine most of the time. However, in reality, data points further away from the interpolation point may...

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Using d3VIEW-Workflows to Build and Launch DOE Simulations

Workflows is d3VIEW’s application for streamlining complex business processes. With its capabilities, we can create and employ automated DOE studies for quicker analysis. Using the application’s new shape worker, *TEXT_PARAMETERIZE_GUI, we can set-up custom parameters for our text-based files, generate sampling points from these parameters, create simulations from the text,...

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