Metaheuristic Optimization

Metaheuristic optimization methods (harmony search, genetic algorithms, ant colony optimization, particle swarm optimization, simulated annealing, etc.) are concerned with optimization of highly nonlinear problems that may involve both discrete and continuous design variables.

Areas of interest:

Metaheuristic optimization methods for (linear and nonlinear) steel frame optimization
Design driven metaheuristic optimization methods
Metaheuristic optimization methods for connection topology optimization
Optimization for robustness: progressive collapse prevention

Selected Publications:

Alberdi, R. and Khandelwal, K. (2015). "Comparison of Robustness of Metaheuristic Algorithms for Steel Frame Optimization." Engineering Structures. Vol. 102, pg. 40-60 (DOI).
Alberdi, R., Murren, P. and Khandelwal, K. (2015). "Connection Topology Optimization of Steel Moment Frames using Metaheuristic Algorithms." Engineering Structures. Vol. 100, pg. 276-292. (DOI).
Murren, P. and Khandelwal, K. (2014). "Design-Driven Harmony Search (DDHS) in Steel Frame Optimization." Engineering Structures, Vol. 59, pg. 798-808. (DOI).

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