Optimum Genetic Algorithm Structure Selection in Pavement Management

Research Trends in Pavement Management during the First Years of the 21st Century: A Bibliometric Analysis during the 2000–2013 Period

“…Examples of applied techniques in the period 2012-2013 are the weighting sum method [141], compromising programming [142], analytic hierarchy process [143], the parametric method [144], and genetic or evolutionary algorithms [145][146][147]. Sometimes, two methods are combined to solve an optimization, such as the generic algorithm and the weighting sum method [104,105], or the genetic algorithm and goal programming [148].…”

Optimising Road Maintenance

“…Instead of a smooth, continuous cost surface with a single minimum point, there are multiple local minimums and discrete choices. Treating time in years as a discrete variable, Golroo and Tighe (2012) note that the number of feasible solutions for N pavement segments with S maintenance actions (treatment types) over a planning horizon of T years is S T×N .…”

Implementing asset management inside infrastructure agencies

“…Many asset management decision models assume that the final solution of an optimization process will be the best option, and subsequently will form the implemented decision outcome. However, the articles, citing in the Life Cycle Decision Making and Organization path recognize that, in practice, decision models merely have a support function for the decision maker and require a tailoring of preferences like a genetic algorithm (Bian et al, 2008;Golroo and Tighe, 2012;Yeo et al, 2013) , an evolutionary groups process (Bian et al, 2009) or applying simulation data (Irfan et al, 2012). Some other financial articles, addressing the determinism in decision making, focus on the decision makers' behaviors side and suggest that more accurate forecasts will lead them to more often base their choices on the forecasted values (Takahashi, 2010a).…”