Fuzzy-based MOGA approach to stochastic time–cost trade-off problem

Reactive scheduling based on actual logistics data by applying simulation-based optimization

“…Many optimization approaches utilizing genetic algorithms are proposed. To name only a few we refer to Leu and Yang (1999), Chen and Weng (2009), Ghoddousi et al (2013) and Esthehardian et al (2009). These approaches contributed to resource allocation and resource leveling.…”

“…In order to tackle multi-mode resource constraint project scheduling problems (MRCPSP) by considering resource allocation and resource leveling simultaneously, the utilization of the Non-dominated Sorting Genetic Algorithm (NSGA II) (Deb et al 2002) has been proved successful. In particular, Esthehardian et al (2009) applied fuzzy numbers in order to model uncertainties in activities concerning execution time and cost. A different optimization approach by Said and El-Rayes (2014) provides a holistic BIM-based framework to optimize material supply and site decisions to minimize total logistics costs.…”

Estimation of scour depth below free overfall spillways using multivariate adaptive regression splines and artificial neural networks

“…A review of previous studies shows the application of soft computing techniques in many fields of civil engineering, such as water resources engineering, and in the simulation of engineering problems (Chau, Wu, & Li, 2005;Chen & Chau, 2006;Cheng, Chau, Sun, & Lin, 2005;Taormina, Chau, & Rajandrea, 2012;Wu, Chau, & Li, 2009), geotechnical engineering (Alavi & Gandomi, 2011a, 2011b), *Corresponding author. Email: jabbari@iust.ac.ir earthquake engineering (Gandomi & Alavi, 2012a, 2012b, transportation engineering (Haleem, Abdel-Aty, & Santos, 2010;Yang, Gandomi, Talatahari, & Alavi, 2012), structures and infrastructures (Gandomi, Yang, Talatahari, & Alavi, 2013), coastal and ocean engineering (Chau, 2010;Etemad-Shahidi & Bali, 2012;Jabbari & Talebi, 2011;Kamranzad, Jabbari, & Samadi, 2013), construction engineering (Afshar & Amiri, 2010;Eshtehardian, Afshar, & Abbasnia, 2009), and environmental engineering (Ebtehaj & Bonakdari, 2013;Muttil & Chau, 2006;Saadatpour, Afshar, & Afshar, 2011).…”

An integration of spreadsheet and project management software for cost optimal time scheduling in construction

“…For example, cost optimization of project schedules has been effectively carried out by genetic algorithms (Eshtehardian et al 2009), simulated annealing (He et al 2009), tabu search (Hazir et al 2011), neural networks (Adeli and Karim 1997), ant colony optimization (Kalhor et al 2011), particle swarm optimization (Yang 2007), differential evolution (Nearchou 2010), harmony search (Geem 2010) and hybrid methods, such as genetic algorithm and dynamic programming (Ezeldin and Soliman 2009), cutting plane method and Monte Carlo simulation (Mokhtari et al 2010), genetic algorithm and simulated annealing (Sonmez and Bettemir 2012) among others. Certainly, there are also various extensions of aforesaid techniques that can be found in the literature.…”