Ant-inspired metaheuristic algorithms known as ant colony optimization (ACO) offer an
approach that has the ability to solve complex problems in both discrete and continuous …

Among the emerged metaheuristic optimization techniques, ant colony optimization (ACO)
has received considerable attentions in water resources and environmental planning and …

Purpose–The computational drawbacks of existing numerical methods have forced
researchers to rely on heuristic algorithms. Heuristic methods are powerful in obtaining the …

In this paper, a performance-based optimal seismic design of frame structures is presented
using the ant colony optimization (ACO) method. This discrete metaheuristic algorithm leads …

Wave-induced scour depth below pipelines is a physically complex phenomenon, whose
reliable prediction may be challenging for pipeline designers. This study shows the …

This study explores the inclusion of a groundwater recharge based design objective and the
impact it has on the design of optimum groundwater monitoring networks. The study was …

This paper presents a novel methodology for designing an optimal pressure sensor to make
average pressure field in water distribution systems (WDS) more accurate via geostatistical …

A methodology for the design of a rain gauge network is developed in this study. To the best
of the authors' knowledge, this is the first time a combination of geostatistical tools and factor …

High groundwater concentrations of heavy metals such as copper are toxic to humans.
Attenuated total reflectance–Fourier transform infrared spectroscopy (ATR-FTIR) …

Groundwater long-term monitoring (LTM) is required to assess the performance of
groundwater remediation and human being health risk at post-closure sites where …