Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.
When it comes to TVs, CES is going to be flooded with bright panels, massive screens, AI buzzwords, and RGB advancements. But ...
As renewable power rapidly reshapes global electricity systems, engineers face a growing challenge: how to operate increasingly complex grids with ...
ROS System, Hospital Drug Delivery Robot, Autonomous Localization, Path Planning, Navigation Simulation Cheng, B. and Zhang, B.Y. (2025) Research on Autonomous Localization and Navigation Simulation ...
The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been ...
Abstract: Dynamic interval multiobjective optimization problems, such as those encountered in wireless sensor network scheduling and portfolio selection, are increasingly prevalent. However, they ...
Abstract: HCMOP are widespread in practical engineering such as vehicle routing problem and shop scheduling problem etc. The problems introduced above refer to optimization problems with complex ...
A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and more useful. PROVIDENCE, R.I. [Brown University] — With the rise of 3D ...
Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...
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