Job shop scheduling problem (JSSP) is a thriving area of scheduling research, which has
been concerned and studied widely by scholars in engineering and academic fields. This …

As the world's population and economy grow, demand for energy increases as well. Smart
grids can be a cost-effective solution to overcome increases in energy demand and ensure …

This work presents a novel hybrid algorithm called GA-RRHC based on genetic algorithms
(GAs) and a random-restart hill-climbing (RRHC) algorithm for the optimization of the flexible …

Differential grouping (DG) is an efficient decomposition method that is used to solve large-
scale global optimization (LSGO) problems. To further reduce the computational cost, a …

The multi-stage multi-product batch plant scheduling problem is an important part of batch
chemical industry scheduling problems. Different from the multi-purpose batch scheduling …

Jaya algorithm is one of the heuristic algorithms developed in recent years. The most
important difference from other heuristic algorithms is that it updates its position according to …

Abstract Harris Hawks Optimizer (HHO) is a recent optimizer that was successfully applied
for various real-world problems. However, working under large-scale problems requires an …

Various practical fields rely on optimization mechanisms to achieve high performance. To
solve optimization problems, optimization algorithms are utilized in systems in various …

With the continuous development of today's air transport industry, the size of airline crew and
flight volume increase continuously. At the same time, crew scheduling becomes …