Abstract: In simplex hybrid genetic algorithm, widely using Nelder-Mead simplex method (NMSM) would lead to precocity of genetic algorithm and increase in computation quantity, so a novel simplex ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better. In 1939, upon arriving late to his statistics course at the ...

Abstract: A new heuristic optimization algorithm is presented to solve the nonlinear optimization problems. The proposed algorithm utilizes a stochastic method to achieve the optimal point based on ...

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

In the era of vast data, information retrieval is crucial for search engines, recommender systems, and any application that needs to find documents based on their content. The process involves three ...

Since its creation more than two decades ago by Daniel Spielman (above) and Shang-hua Teng, smoothed analysis has been used to analyze performance of algorithms other than the simplex method, ...

Since its initial release in 2016, TikTok has become the fastest-growing social media platform. If you’re looking to learn more about the popular short-form video app and how your brand can use it, ...

The op_research package is a Python library for solving linear programming problems using the simplex algorithm. It provides a high-level interface for formulating and solving optimization ...

This project will receive a file with a well defined structure, as: Line 1: The z to maximize Line 2: Constraint 1 Line 3: Constraint 2 Line n: Constraint n Line n+1: End of file indication ("-") ...