Advances in dataset collection and machine learning (ML) algorithms are important
contributors to the stability analysis in industrial engineering, especially to slope stability …

This paper presents backtracking search algorithm (BSA) for solving economic dispatch
(ED) problems with considering valve-point loading effects, prohibited operating zones, and …

This paper proposes rain-fall optimization algorithm (RFO), a new nature-inspired algorithm
based on behavior of raindrops, for solving of real-valued numerical optimization problems …

Building maintenance includes actions that aim to ensure the components of a building are
in acceptable conditions. In traditional maintenance methods, as-built drawings and …

Recently, the robust optimization and prediction models have been highly noticed in district
of surface engineering and coating techniques to obtain the highest possible output values …

When systems lose their critical linkage and key facilities due to natural disasters or
intentional attacks, their performance may be at risk. This paper focuses on reducing the …

This work proposes an improved island model memetic algorithm with a new naturally
inspired cooperation phase (IIMMA) for multi-objective job shop scheduling problem. Three …

This study deals with estimation of electricity demand of Iran on the basis of economic
criteria using a genetic-based approach called Gene Expression Programming (GEP) as an …

This paper proposes cuckoo search algorithm (CSA) for the generation scheduling in
microgrids in an economical manner. CSA is an evolutionary algorithm to solve the …

In this paper, we develop a function of population, GDP, import, and export by applying a
hybrid bat algorithm (BAT) and artificial neural network (ANN). We apply these methods to …