The increasing energy prices and pollutants from fossil fuels that threaten the climate, there
is a growing preference for renewable energy. The implementation of hybrid renewable …

Teaching-learning-based optimization (TLBO) algorithm which imitates the teaching-
learning process in a classroom, is one of population-based heuristic stochastic swarm …

Recently, integrated machine learning (ML) metaheuristic algorithms, such as the artificial
bee colony (ABC) algorithm, genetic algorithm (GA), gray wolf optimization (GWO) algorithm …

Concrete compressive strength (CCS) is among the most important mechanical
characteristics of this widely used material. This study develops a novel integrative method …

Hybrid heuristic algorithm (HA), an innovative technique in the machine learning field,
enhances the accuracy of reference evapotranspiration (ETo) prediction, which is of …

Floods is a natural hazard that occurs over a short time with a high transmission speed.
Flood risk management in many countries employs flood susceptibility modeling to mitigate …

Drought has negative impacts on water resources, food security, soil degradation,
desertification and agricultural productivity. The meteorological and hydrological droughts …

Selecting the appropriate training technique is a significant step in utilizing intelligent
approaches. It becomes even more important when it comes to critical problems like …

Nowadays, there is a great deal of interest in the development of practical optimization
models and intelligent solution algorithms for solving disassembly-line balancing problems …

The optimization of the operation of reservoirs is one of the complex problems in terms of
non-linear problems, large numbers of decision variables, and multiple constraints that are …