Giovanni Iacca

Giovanni Iacca is affiliated with the University of Trento, where he contributes to research in computational intelligence and optimization. His work spans evolutionary algorithms, memetic computing, and constrained optimization, often intersecting with engineering and applied machine learning.

Research interests include

• Memetic Computing
• Evolutionary Algorithms
• Optimization Problems
• Neural Architecture Design
• Social Network Analysis
• Sensor Networks

His publications reveal a focus on hybridizing evolutionary methods with adaptive strategies (e.g., Super-fit Multicriteria Adaptive Differential Evolution), constrained optimization techniques (e.g., Memetic Viability Evolution), and applications in sensor networks and social systems. He frequently collaborates with researchers like Ferrante Neri, E. Mininno, and D. Floreano.