The simulation-driven metaheuristic algorithms have been successful in solving numerous
problems compared to their deterministic counterparts. Despite this advantage, the …

An iterated greedy algorithm (IGA) is a simple and powerful heuristic algorithm. It is widely
used to solve flow-shop scheduling problems (FSPs), an important branch of production …

Due to its practicality, hybrid flowshop scheduling problem (HFSP) with productivity objective
has been extensively explored. However, studies on HFSP considering green objective in …

Green scheduling in the manufacturing industry has attracted increasing attention in
academic research and industrial applications with a focus on energy saving. As a typical …

Distributed scheduling problem, a novel model of intelligent manufacturing, urgently needs
new scheduling methods to meet the dynamic market demand. The inverse scheduling in a …

Currently, manufacturing enterprises face increasingly fierce market competition due to the
various demands of customers and the rapid development of economic globalization …

The distributed blocking flowshop scheduling problem (DBFSP) plays an essential role in
the manufacturing industry and has been proven to be as a strongly NP-hard problem. In this …

Based on a triple bottom line concept, sustainable development is characterized by the
simultaneous pursuit of economic, environmental and social goals. The implementation of …

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

To meet the multi-cooperation production demand of enterprises, the distributed permutation
flow shop scheduling problem (DPFSP) has become the frontier research in the field of …