Due to the stubborn nature of the deterministic job-shop scheduling problem many solutions
proposed are of hybrid construction cutting across the traditional disciplines. The problem …

Hybrid genetic algorithms have received significant interest in recent years and are being
increasingly used to solve real-world problems. A genetic algorithm is able to incorporate …

This invaluable book has been designed to be useful to most practising scientists and
engineers, whatever their field and however rusty their mathematics and programming might …

A scheduling policy strongly influences the performance of a manufacturing system.
However, the design of an effective scheduling policy is complicated and time consuming …

The use of intelligent techniques in the manufacturing field has been growing the last
decades due to the fact that most manufacturing optimization problems are combinatorial …

Genetic algorithms (GAs) have been widely applied to the scheduling and sequencing
problems due to its applicability to different domains and the capability in obtaining near …

ABSTRACT A great deal of research has been focused on solving the job-shop problem
(ΠJ), over the last forty years, resulting in a wide variety of approaches. Recently, much effort …

Computers can only do what we tell them to do. They are our blind, unconscious digital
slaves, bound to us by the unbreakable chains of our programs. These programs instruct …

The n× m minimum-makespan general job-shop scheduling problem, hereafter referred to
as the JSSP, can be described by a set of n jobs {Ji} 1≤ j≤ n which is to be processed on a …

Designing effective dispatching rules for production systems is a difficult and time-
consuming task if it is done manually. In the last decade, the growth of computing power …