Energy conservation, emission reduction, and green low carbon are of great significance to sustainable development, also the theme transformation upgrading manufacturing industry. This paper concentrates on studying energy-efficient hybrid flowshop scheduling problem with consistent sublots (HFSP_ECS) objective minimizing energy consumption. To solve problem, HFSP_ECS is decomposed by idea “div...

Scheduling in chemical flowshops is one of a number of important industrial problems which are potentially amenable to solution using the genetic algorithm. However the problem is not trivial: flowshops run continuously, and for efficient operation those controlling them must be able to adjust the order in which products are made as new requests are received. In addition, there are in principle...

Solving efficiently complex problems using metaheuristics, and in particular local search algorithms, requires incorporating knowledge about the problem to solve. In this paper, the permutation flowshop problem is studied. It is well known that in such problems, several solutions may have the same fitness value. As this neutrality property is an important issue, it should be taken into account ...

Genetic Algorithms (GAs) have been applied on a variety of combinatorial optimization problems with high success. GAs have also become increasingly popular as a means of solving flowshop sequencing problems. The synchronous line sequencing (SLS) problem is one of sequencing jobs in a synchronous flow line with the objective of minimizing makespan. In this study, I apply two genetic local search...

0360-8352/$ see front matter 2008 Elsevier Ltd. A doi:10.1016/j.cie.2008.09.004 q This manuscript was processed by Area Editor Ma * Corresponding author. Tel./fax: +52 653 5356168 E-mail address: [email protected] (V. Yaurima This paper presents a genetic algorithm for an important production scheduling problem. Since the problem is NP-hard, we focus on suboptimal scheduling solutions for the ...

The aim of this paper is to clearly demonstrate the importance of finding a good balance between genetic search and local search in the implementation of hybrid evolutionary multicriterion optimization (EMO) algorithms. We first modify the local search part of an existing multi-objective genetic local search (MOGLS) algorithm. In the modified MOGLS algorithm, the computation time spent by local...