Job-shop scheduling problem (abbreviated to JSP) is one of the well-known hardest
combinatorial optimization problems. During the last three decades, the problem has …

Job-shop scheduling problem is one of the well-known hardest combinatorial optimization
problems. During the last three decades, this problem has captured the interest of a …

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 …

Metaheuristics are the most exciting development in approximate optimization techniques of
the last two decades. They have had widespread successes in attacking a variety of difficult …

Rapid developments in the field of genetic algorithms along with the popularity of the first
edition precipitated this completely revised, thoroughly updated second edition of The …

This article addresses the problem of simultaneous scheduling of machines and a number of
identical automated guided vehicles (AGVs) in a flexible manufacturing system (FMS) so as t …

Multiobjective Scheduling by Genetic Algorithms describes methods for develo**
multiobjective solutions to common production scheduling equations modeling in the …

A genetic algorithm (GA) approach is proposed for the general resource-constrained project
scheduling model, in which activities may be executed in more than one operating mode …

Organizations routinely process information, make decisions, and implement them. Recent
advances in computer and communications technologies have changed the way in which …

Fuzzy job-shop scheduling problems (Fuzzy JSSPs) are a class of combinational
optimization problems known as non-deterministic polynomial-hard problems. In recent …