This review article provides a comprehensive analysis of the optimization techniques used
in a wide range of engineering applications. The comparison of various approaches such as …

Abstract This paper describes Machine Learning (ML)-based framework to detect leaks in
pipes using transient waves. The so-called Transient-Based Leak Detection (TBLD) …

It is known that the (1+ 1)-EA with mutation rate c/n optimizes every monotone function
efficiently if c<; 1, and needs exponential time on some monotone functions (HOTTOPIC …

The applications of artificial neural networks in the cosmological field have shone
successfully during the past decade, this is due to their great ability of modeling large …

We consider fault detection in a hydraulic system that maintains multivariate time-series
sensor data. Such a real-world industrial environment could suffer from noisy data resulting …

Abstract The (1+ λ 1+ λ) EA with mutation probability c/n, where c> 0 c> 0 is an arbitrary
constant, is studied for the classical OneMax function. Its expected optimization time is …

The ground station scheduling problem is a complex scheduling problem involving multiple
objectives. Evolutionary techniques for multi-objective optimization are becoming popular …

Wastewater treatment plants (WWTPs) are critical infrastructures responsible for processing
wastewater before discharging effluent to rivers and other potential uses. WWTPs use large …

Given the importance of maintaining infrastructure assets, asset management at both project-
and network-levels has been the focus of hundreds of studies. Although these studies and …

Optimization design of hydraulic fracture network parameters significantly reduces the high
investment risk in the production of shale gas. This is also a numerical simulation-based …