eLife

The impact of stability considerations on genetic fine-mapping

In statistical fine-mapping, signals stable across stratified subgroups can capture functionally important loci missed by covariate adjustment approaches, and prioritizing agreement between both ...
Scientific Research Publishing

SymPcNSGA-Testing: A Hybrid Approach to Mitigate Path Explosion in Software Programs ()

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...
Material Handling and Logistics

New MIT AI Simulator Optimizes Warehouse Inventory

The simulator takes into account forecasted demand in each region, transportation costs, and the operational capacity of each warehouse.
Payload Asia

MIT CTL and Mecalux develop an AI-based simulator to optimise inventory across warehouses

The AI-based simulator takes into account variables such as forecast demand in each region, transport costs and the operational capacity of each warehouse to test various inventory replenishment ...
Eureka

MIT and Mecalux Develop AI Logistics Optimisation Simulator

The Massachusetts Institute of Technology (MIT) Center for Transportation & Logistics and Mecalux have developed an artificial intelligence-based simulator designed to optimise inventory distribution ...
IEEE

Research on Intelligent Optimization Algorithm Based on Improved Genetic Algorithm and Monte Carlo Simulation

Abstract: In order to improve the decision-making efficiency and accuracy in intelligent manufacturing, a dual-objective optimization method integrating genetic algorithm and Monte Carlo simulation is ...
qualitysafety.bmj

Re-establishing control limits in statistical process control analyses: the stable shift algorithm

Statistical process control (SPC) charts provide a natural approach to analysing time series data for healthcare quality improvement (QI) initiatives. A problem arising in practice is that having ...
C&EN

A Genetic Algorithm Approach for Compact Wave Function Representations in Spin-Adapted Bases

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The accurate treatment of many-unpaired-electron systems remains a central challenge ...
GitHub

Traffic Light Timing Optimization Using Genetic Algorithms in SUMO

Efficient traffic signal control is crucial for reducing congestion and improving vehicle flow in urban areas. This project implements a Genetic Algorithm (GA) to optimize traffic light timings using ...
IEEE

Intelligent Shoreside Data Collection in UWSNs: A Dual Genetic Algorithm Framework for Routing and UGV Path Optimization

Abstract: Energy-efficient data gathering remains a fundamental challenge in Underwater Wireless Sensor Networks (UWSNs) due to the inherent limitations of multi-hop communication, which often result ...
Frontiers

Optimizing hip exoskeleton assistance pattern based on machine learning and simulation algorithms: a personalized approach to metabolic cost reduction

Using data from ten healthy adults, we trained a Gradient Boosting (GB) surrogate model to predict normalized metabolic cost as a function of Peak Magnitude and End ...