Alfredo Garcia Hernandez-Diaz

Pablo de Olavide University
Sevilla, Spain

Full Professor

Bio

Alfredo García Hernández-Díaz is a Full Professor at Pablo de Olavide University in Sevilla (UPO), Spain. He has established himself as a prominent researcher in the field of optimization algorithms and heuristics, with significant contributions to multiobjective optimization, evolutionary algorithms, and vehicle routing problems.

His research has been highly cited (3,345 times) and encompasses both theoretical developments and practical applications in optimization, demonstrating his expertise in computational intelligence, mathematical programming, and optimization modeling.

Key Contributions

  • Multiobjective Cross Entropy: Developed the multiobjective optimization cross entropy (MOCE) procedure for combinatorial optimization problems with linear relaxations
  • Vehicle Routing Optimization: Extensive work on Open Vehicle Routing Problems with homogeneous fleet considering multiple objectives (total distance, maximum travel time, and number of routes)
  • CEC 2013 Benchmark: Co-author of the influential CEC 2013 Special Session on Real-Parameter Optimization benchmark problems
  • Computational Intelligence: Significant contributions to genetic algorithms, stochastic processes, and optimization modeling

Research Impact

  • 3,345 citations demonstrating significant influence in the optimization community
  • 69 publications with 49,994 reads on ResearchGate
  • 2,742 citations for his research contributions
  • Active collaboration in international research projects and benchmarks

Publications

  • Co-author of “Problem Definitions and Evaluation Criteria for the CEC 2013 Special Session on Real-Parameter Optimization”
  • Research on Cross Entropy methods for multiobjective optimization
  • Publications on vehicle routing problems with multiple objectives
  • Contributions to evolutionary algorithms and metaheuristics literature

Interests

Multiobjective Optimization | Evolutionary Algorithms | Vehicle Routing Problems | Cross Entropy Methods | Computational Intelligence | Mathematical Programming