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This program implements a genetic algorithm for curve fitting using a polynomial equation. The goal is to find the best coefficients for the polynomial equation that minimize the distance between the curve and a given set of data points. The genetic algorithm is used to search for the optimal solution by evolving a population of candidate solutions
Master Seminar: Analyzing the influence of Selection on Genetic Programming’s Generalization ability in Symbolic Regression - A comparison of ϵ-lexicase Selection and Tournament Selection
Manually generating a Mid-term exam schedule for NUCES-FAST Lahore is an involved task as a diverse set of constraints must be enforced while creating the schedule. In this repository, the famous natured inspired Genetic Algorithm combined with local search is implemented for solving the scheduling problem.