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 …

This paper focus on artificial intelligence approaches to NP-hard job shop scheduling (JSS)
problem. In the literature successful approaches of artificial intelligence techniques such as …

The flexible job shop scheduling problem (FJSP) is significant for realistic manufacturing.
However, the job processing time usually is uncertain and changeable during …

As an important branch of production scheduling, flexible job-shop scheduling problem
(FJSP) is difficult to solve and is proven to be NP-hard. Many intelligent algorithms have …

Green flexible job-shop scheduling problem (FJSP) aims to improve profit and reduce
energy consumption for modern manufacturing. Meanwhile, FJSP with type-2 fuzzy …

With increasing environmental awareness and energy requirement, sustainable
manufacturing has attracted growing attention. Meanwhile, there is a high level of …

This article addresses a novel scheduling problem, a distributed flowshop group scheduling
problem, which has important applications in modern manufacturing systems. The problem …

In practical applications, particularly in flexible manufacturing systems, there is a high level
of uncertainty. A type-2 fuzzy logic system (T2FS) has several parameters and an enhanced …

The energy-efficient flexible job shop scheduling problem (FJSP) has attracted much
attention in deterministic cases; however, uncertainty is seldom incorporated into energy …

Flexible job shop scheduling problem (FJSP) is one of the challenging issues in industrial
systems. In this study, we propose a bi-population balancing multi-objective evolutionary …