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 ...
American Institute of Physics

Multi-objective algorithm speeds up UAV search-and-rescue

Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.

Optical genome mapping detects additional genetic variants in nearly 20% of individuals with acute leukemia

New research assessing the efficacy of optical genome mapping (OGM) in a group of patients with acute leukemia has ...
IEEE

An adaptive multi-objective task splitting algorithm for agricultural multi-robot task allocation

Abstract: In smart farming, the development of multi-robot systems is essential for improving harvesting efficiency and addressing labor shortages, yet achieving optimal coordination presents ...
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 ...