Particle swarm optimization (PSO) is a stochastic population-based optimization algorithm
inspired by the interactions of individuals in a social world. This algorithm is widely applied …

The aim of this state-of-the-art review is to present the recent progress about the design
optimization and applications of metaheuristic algorithms in civil engineering. In this chapter …

In this paper, a new methodology is developed for the allocation of groundwater to
agricultural lands considering the cultivated area of different crops, selling price and net …

In the present study, the optimal placement contamination warning systems (CWSs) in water
distribution systems (WDSs) was investigated. To this end, we developed a novel …

The challenges of the most multi-objective particle swarm optimization (MOPSO) algorithms
are to improve the selection pressure, equilibrate the convergence and diversity when …

Since road pavements consume a significant portion of the financial resources of
construction costs, design engineers aim to find an appropriate pavement thickness design …

The performance of a water distribution system of providing a required flow rate at all the
nodes with required pressure heads throughout its design life is affected by uncertainties …

The theoretical minimum of the geometric dilution of precision (GDOP) for target positioning
cannot be achieved because of the coplanar constraint for underwater station …

Road pavement costs expend a significant share of financial resources in road construction,
and finding the optimal pavement thickness design with minimal cost remains a concern that …

Uncertainties in the input parameters of predictive models for uplift capacity of suction
caisson lead to uncertain performance. To account for the influence of such uncertainties on …