In a world without easy, affordable DIY building, maybe it’s time to tear down long-standing divides between desktop and ...
Hunan Provincial Higher Education Institutions Key Laboratory of Small and Micro Intelligent Agricultural Machinery Equipment and Application, Hunan Engineering Research Center for Smart Agriculture ...
Abstract: Multi-party multi-objective optimization, which aims to find a solution set that satisfies multiple decision makers (DMs) as much as possible, has attracted the attention of researchers ...
ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
This repository contains the problem instances and source code used in the article Recursive McCormick Linearization of Multilinear Programs, authored by David Bergman, Carlos Cardonha, Arvind U.
Abstract: This paper introduces a new discrete StarFish Optimization Algorithm (D-SFOA) to solve a complex discrete Symmetric Travelling Salesman Problem (STSP). The discrete SFOA algorithm is ...
This is the official implementation of our paper "Riemannian Optimization on Relaxed Indicator Matrix Manifold" . We propose a fundamental manifold in machine learning—the Relaxed Indicator Matrix ...
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