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 of the points on a…

April 26, 2023 | by

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. This process is called optimization…

September 23, 2022 | by