In multiobjective particle swarm optimization (MOPSO) methods, selecting the local best and the global best for each particle of the population has a great impact on the convergen...
Operator performance during Space Shuttle and International Space Station robotic arm training can differ dramatically among astronauts. The difficulty making appropriate camera s...
M. Alejandra Menchaca-Brandan, Andrew M. Liu, Char...
Survivability is one of the critical issues and the most important research topics in the fields of wireless sensor networks (WSNs). Energy efficiency is one of the determining fac...
A dynamic optimizer is a software-based system that performs code modifications at runtime, and several such systems have been proposed over the past several years. These systems ...
Dealing with imprecise information is a common characteristic in real-world problems. Specifically, when the source of the information are physical sensors, a level of noise in t...