Bringing quantum ideas to the messy world of disordered proteins

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...
EuropaWire

Denmark Invests in ODAQS Initiative to Simplify Quantum Programming and Bring Technology Closer to Healthcare Applications

Aalborg University has joined forces with Aarhus University and quantum technology company Kvantify in the ODAQS project, a DKK 17.4 million initiative funded by Innovation Fund Denmark to make ...
IEEE

Evolving Many-Objective Job Shop Scheduling Dispatching Rules via Genetic Programming With Adaptive Search Based on the Frequency of Features

Abstract: Job Shop Scheduling (JSS) is a critical application in diverse fields, such as cloud computing and manufacturing. Genetic Programming (GP) is acknowledged for its wide use in evolving ...
IEEE

An improved genetic programming algorithm based on bloat control

Abstract: Aiming at the disadvantages of long training time and high model complexity caused by individual bloat in genetic programming, an improved genetic programming algorithm based on bloat ...
Acsh.org

Designer DNA: Genetic Edits, Ethics, and Pseudo-Prophecy

Want a bespoke baby? Check the beauty, brains, or brawn boxes on the embryo order form. Genetic tinkering is no longer science fiction — it’s a market without legal guidelines or societal buy-in. But ...
acm.org

GenDP: A Framework of Dynamic Programming Acceleration for Genome Sequencing Analysis

Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...
Scientific Research Publishing

Attouch, H. and Bolte, J. (2007) On the Convergence of the Proximal Algorithm for Nonsmooth Functions Involving Analytic Features. Mathematical Programming, 116, 5-16.

ABSTRACT: The alternating direction method of multipliers (ADMM) and its symmetric version are efficient for minimizing two-block separable problems with linear constraints. However, both ADMM and ...
Frontiers

Hybrid genetic algorithm and Q-learning-based solution for the time-variant berth and quay crane allocation problem

Institute of Logistics Science and Engineering of Shanghai Maritime University, Pudong, China Introduction: This study addresses the joint scheduling optimization of continuous berths and quay cranes ...