Learn how the Adadelta optimization algorithm really works by coding it from the ground up in Python. Perfect for ML enthusiasts who want to go beyond the black box! California Democrats vote to ...

Abstract: An accelerated genetic algorithm called ASOGA for solving multi-objective optimization problems in a grid-connected microgrid is proposed in this paper. One four-criterial optimization ...

Abstract: In real world applications it can often be difficult to determine which optimization algorithm to use. This is especially true if the problem has multiple objectives, which is a common ...

The Smart Shelf Allocation System is an intelligent retail optimization tool that uses genetic algorithms to solve the complex problem of product placement in stores. The system automatically assigns ...

A Python-based city tour planner that finds the shortest route using Greedy, 2-opt, and Simulated Annealing TSP algorithms. Includes time-window filtering, interactive maps, and route plotting.

PepGen leverages a graph-based approach to improve the detection of hidden protein variants in a computationally efficient ...

Researchers at DTU Biosustain (The Novo Nordisk Foundation Center for Biosustainability at DTU) have developed a new tool ...

Nucleus Genomics launches IVF software that analyzes embryos for genetic risks and traits to aid parental choices.

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...