Genetic Algorithm is optimization method based on the mechanics of natural genetics and
natural selection. Genetic Algorithm mimics the principle of natural genetics and natural …

Energy efficiency has become a major concern for manufacturing companies not only due to
environmental concerns and stringent regulations, but also due to large and incremental …

The emergence of fuzzy sets makes job-shop scheduling problem (JSSP) become better
aligned with the reality. This article addresses the JSSP with fuzzy execution time and fuzzy …

In recent years, there has been a growing concern over the environmental impact of
traditional manufacturing, especially in terms of energy consumption and related emissions …

The key idea underlying iterated local search is to focus the search not on the full space of
all candidate solutions but on the solutions that are returned by some underlying algorithm …

In this paper, we discuss scheduling problems in semiconductor manufacturing. Starting
from describing the manufacturing process, we identify typical scheduling problems found in …

This paper focuses on an energy-efficient job-shop scheduling problem within a machine
speed scaling framework, where productivity is affected by deterioration. To alleviate the …

Genetic algorithms (GA) are wide class of global optimization methods. Many genetic
algorithms have been applied to solve combinatorial optimization problems. One of the …

Scheduling for the flexible job shop is very important in the fields of production management
and combinatorial optimization. However, it is quite difficult to achieve an optimal solution to …

This research contributes significantly to the domain of Industry 4.0 by offering a nuanced
approach to the multi-objective optimization of the resource-constrained project scheduling …