Complex optimization scheduling problems frequently arise in the manufacturing and
transport industries, where the goal is to find a schedule that minimizes the total amount of …

In many decision problems, eg from the area of production and logistics manage ment, the
evaluation of alternatives and the determination of an optimal or at least suboptimal solution …

A comprehensive guide to a powerful new analytical tool by two of its foremost innovators
The past decade has witnessed many exciting advances in the use of genetic algorithms …

Comparing, or benchmarking, of optimization algorithms is a complicated task that involves
many subtle considerations to yield a fair and unbiased evaluation. In this paper, we …

This paper considers the job-shop problem with release dates and due dates, with the
objective of minimizing the total weighted tardiness. A genetic algorithm is combined with an …

In recent years, the application of artificial intelligence has been revolutionizing the
manufacturing industry, becoming one of the key pillars of what has been called Industry 4.0 …

The job-shop scheduling problem is well known for its complexity as an NP-hard problem.
We have considered JSSPs with an objective of minimizing makespan while satisfying a …

In this paper, we present and discuss an innovative approach to solve Job Shop scheduling
problems based on machine learning techniques. Traditionally, when choosing how to solve …

This paper describes the application of an artificial immune system to a scheduling
application. A novel approach multi-modal immune algorithm is proposed for finding optimal …

This paper deals with the job shop problem of simultaneous scheduling of production
operations and preventive maintenance tasks. To solve this problem, we develop an elitist …