Parallel recombinative simulated annealing: a genetic algorithm
Parallel Computing
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
New approach to optimization of reinforced concrete beams
Computational concrete structures technology
A competitive comparison of different types of evolutionary algorithms
ICAAICSE '01 Proceedings of the sixth international conference on Application of artificial intelligence to civil & structural engineering
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This paper presents discrete optimization of reinforced concrete structures based on an efficient combination of deterministic and stochastic optimization strategies. The deterministic optimization algorithm is used for the detailing of a reinforced concrete cross-section for a given combination of internal forces. The stochastic optimization algorithm, based on the Augmented Simulated Annealing, is used for the optimization of a whole structure in terms of basic structural characteristics like types of materials, dimensions of elements or profiles of steel bars. The implicit parallelization of genetic algorithm is implemented to reduce the overall computational time. Obtained preliminary results outline the direction of future research.