Modern steel production centers on the hot rolling mill as a key component. Scheduling for
hot rolling mills is a challenging problem that has fascinated optimization researchers and …

Energy consumption, production cost, and efficiency are highly concerned by decision
makers of energy-intensive and high-cost industrial production systems. Intelligent …

Research in metaheuristics for combinatorial optimization problems has lately experienced
a noteworthy shift towards the hybridization of metaheuristics with other techniques for …

Abstract Design of an effective and efficient fractional order PID (FOPID) controller, as a
generalization of a standard PID controller based on fractional order calculus, for an …

Over the past 20 years, the topic of order acceptance has attracted considerable attention
from those who study scheduling and those who practice it. In a firm that strives to align its …

Artificial intelligence (AI) techniques play an important role in the development and
optimization of complex problems in various fields. This study presents a systematic analysis …

In a world where products get obsolescent ever more quickly, discarded devices produce
million tons of electronic waste. Improving how end-of-life products are dismantled helps …

As a recently developed evolutionary algorithm inspired by far-from-equilibrium dynamics of
self-organized criticality, extremal optimization (EO) has been successfully applied to a …

We consider a make-to-order production system, where limited production capacity and
order delivery requirements necessitate selective acceptance of the orders. Since tardiness …

As a new advanced service-oriented networked manufacturing model, cloud manufacturing
(CMfg) has been proposed recently. The optimal allocation of computing resources (OACR) …