Itziar Landa-Torres

Papers

Total Citations

434

H-Index

About

Itziar Landa-Torres is a leading researcher at the intersection of artificial intelligence, robotics, and industrial optimization. Her work primarily focuses on developing advanced meta-heuristic algorithms—most notably the harmony search algorithm—to solve complex, real-world engineering problems. She is widely recognized for her comprehensive survey on the applications of the harmony search algorithm, which has garnered over 360 citations and serves as a foundational reference for researchers in the field. In the domain of industrial automation, Landa-Torres has made significant contributions to predictive maintenance, designing a practical and synchronized data acquisition network architecture for industrial robots in manufacturing assembly lines. Her research also extends to autonomous underwater robotics, where she has pioneered multi-objective meta-heuristic approaches for task planning under stringent operational constraints, explicitly incorporating mission cost as a critical optimization factor. With a publication record that demonstrates both breadth and depth, Landa-Torres continues to influence the development of intelligent, efficient, and robust robotic systems across diverse and demanding environments.