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.
IEEE

Energy-Efficient Clustering in WSNs Using Multi-Objective Genetic Algorithms

This research proposes a Multiobjective Genetic Algorithm (MOGA) for energy efficient clustering in Wireless Sensor Networks (WSN). Clustering is a key tactic for improving network scalability and ...
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

Robust Predictive Control of Heterogeneous Vehicle Groups in the Ramp Cloud-control System Using Historical Trajectory Features

Abstract: In the vehicle-cloud collaborative control system, the actual trajectories of heterogeneous vehicle groups often deviate from the desired trajectories planned by the cloud, due to factors ...