Georgios I. Giannopoulos

Technological Educational Institute of Western Greece

Papers

Total Citations

H-Index

About

Georgios I. Giannopoulos is a researcher at the intersection of robotics, manufacturing optimization, and computational intelligence. His work centers on applying genetic algorithms to solve complex engineering challenges, particularly in the design and production of robotic systems. Giannopoulos’s most cited paper, “Planning the construction process of a robotic arm using a genetic algorithm” (2015, 16 citations), demonstrates his early contribution to automating assembly planning through evolutionary computation. He extended this line of inquiry with “Genetic-Based Optimization of the Manufacturing Process of a Robotic Arm under Fuzziness” (2018, 5 citations), where he addressed the critical industrial challenge of uncertainty in production systems. By incorporating fuzzy logic into the optimization of assembly line balancing—specifically targeting the SALBP-2 problem—Giannopoulos provided a practical framework for improving efficiency in real-world manufacturing environments where variability is inevitable. His work is notable for bridging theoretical optimization methods with tangible industrial applications, making his research highly relevant for engineers and operations researchers seeking robust solutions for robotic assembly under imperfect conditions. Though his citation counts are modest, Giannopoulos’s focused contributions to fuzzy manufacturing optimization hold significant practical importance for modern industry.