On the Weibull cost estimation of building frames designed by simulated annealing

Optimization of concrete I-beams using a new hybrid glowworm swarm algorithm

“…A thorough review of nonheuristic structural concrete optimization studies can be found in Sarma and Adeli (1998). Many later studies have been undertaken to implement evolutionary algorithms to solve structural concrete optimization problems (Kicinger et al, 2005), while the present authors' research group reported on non-evolutionary algorithms to optimize real-life RC structures (Payá-Zaforteza et al, 2010;Yepes et al, 2012;Carbonell et al, 2012;Martí et al, 2013;Martínez-Martín et al, 2013;Torres-Machí et al, 2013).…”

A cognitive approach for the multi-objective optimization of RC structural problems

“…This process is repeated until the temperature is lower than the initial temperature divided by 1,000,000 and there are no 3.1.6. Performance of the multi-objective model [32], based on the extreme value theory. The difference between the minimum cost and CO 2 emissions obtained from the 15 runs and the extreme value estimated using the three-parameter Weibull distribution that fits 2000 MOSA results is less than 0.99% and 0.62%, respectively.…”

The Resource Leveling Problem with multiple resources using an adaptive genetic algorithm

“…Recently, Paya-Zaforteza et al [45] and Carbonell, Yepes and González-Vidosa [46] used the three-parameter Weibull distribution [47] to establish an estimation of the global optimum. They based their research on the fact, proved by Fisher and Tippet [48] that, as the number of independent samples of size m grows, their distribution approaches a three-parameter Weibull distribution with location parameter J as an estimation of the global optimum.…”