A multiobjective optimization problem involves several conflicting objectives and has a set of
Pareto optimal solutions. By evolving a population of solutions, multiobjective evolutionary …

This paper addresses the multiobjective flexible job shop scheduling problem (MOFJSP)
regarding minimizing the makespan, total workload, and maximum workload. The problem is …

The real life scheduling problems often have several conflicting objectives. The solutions of
these problems can provide deeper insights to the decision maker than those of single …

In many real-world manufacturing applications, a number of parallel flowshops are often
used to process the jobs. The scheduling problem in this parallel flowshop system has …

This work considers a stochastic flexible job shop scheduling with limited extra resources
and machine-dependent setup time in a semiconductor manufacturing environment, which …

This paper considers the problem of sequence-dependent setup time hybrid flowshop
scheduling with the objectives of minimizing the makespan and sum of the earliness and …

Feature selection has always been a critical step in pattern recognition, in which
evolutionary algorithms, such as the genetic algorithm (GA), are most commonly used …

Most of the scheduling problems are NP-hard. In the literature, several heuristics and
dispatching rules are proposed to solve such hard combinatorial optimization problems and …

Most of research in production scheduling is concerned with the optimization of a single
criterion. However the analysis of the performance of a schedule often involves more than …

This study considers the production environment of the re-entrant flow-shop (RFS). In a RFS,
all jobs have the same routing over the machines of the shop and the same sequence is …