This paper provides an extensive review of the popular multi-objective optimization
algorithm NSGA-II for selected combinatorial optimization problems viz. assignment …

Production scheduling that involves maintenance activities and resource constraints plays a
crucial role in manufacturing and service environments of the modern age. While research …

In recent years, distributed production scheduling problems receive much attention from
both scholars and practicers. Nevertheless, existing research on such problems commonly …

Dynamic scheduling methods are essential and critical to manufacturing systems because of
uncertain events in the production process, such as new job insertions, order cancellations …

Swarm intelligence (SI) is the collective behavior of decentralized, self-organized natural or
artificial systems. Monarch butterfly optimization (MBO) algorithm is a class of swarm …

Production scheduling and maintenance planning are two of the most important tasks in the
modern manufacturing workshop. Meanwhile, due to the dynamic order arrival and real-time …

As a typical production model in manufacturing industry, Flexible Job-shop Scheduling
Problem (FJSP) has an important impact on enhancing the productivity of enterprises …

This paper presents a comprehensive review of ground agricultural robotic systems and
applications with special focus on harvesting that span research and commercial products …

Cyber-physical production systems (CPPS), as an emerging Industry 4.0's technology,
trigger a paradigm shift from descriptive to prescriptive maintenance. In particular …

The flexible job shop scheduling problems (FJSP) has been studied for many years, and
many different mathematical models and solution approaches have been developed. With …