In the last 25 years, extensive research has been carried out addressing the flexible job
shop scheduling (JSS) problem. A variety of techniques ranging from exact methods to …

Flexible Job Shop Scheduling Problem (FJSSP) is an extension of the classical Job Shop
Scheduling Problem (JSSP). The FJSSP is known to be NP‐hard problem with regard to …

This study addresses flexible job shop scheduling problem (FJSP) with two constraints,
namely fuzzy processing time and new job insertion. The uncertainty of processing time and …

Genetic algorithms have been applied to the scheduling of job shops-a class of very
complicated combinatorial optimization problems. Among these algorithms for job shops, a …

Flexible job-shop scheduling problem (FJSP) is among the most investigated scheduling
problems over the past decades. The uncertainty of the processing time is an important …

This paper proposes a genetic algorithm GA\_JS GA _ JS for solving distributed and flexible
job-shop scheduling (DFJS) problems. A DFJS problem involves three scheduling …

The flexible job shop scheduling is a challenging problem due to its high complexity and the
huge number of applications it has in real production environments. In this paper, we …

In this paper, a novel algorithm called hybrid multi-verse optimization (HMVO) is proposed to
address the fuzzy flexible job-shop scheduling problem (FFJSP). Firstly, path relinking …

In this paper, an elitist nondominated sorting hybrid algorithm, namely ENSHA, is proposed
to solve the multi-objective flexible job-shop scheduling problem (MOFJSSP) with sequence …

Biogeography-based optimization is a novel evolutionary algorithm which mimics the
immigration and emigration of species among habitats. In this paper, the biogeography …