IEEE CEC 2017 — Special Session on

Recent Advances in Evolutionary Computation for Permutation Problems

held at

IEEE Congress on Evolutionary Computation 2017 — Donostia - San Sebastián, Spain — June 5-8 2017

Overview

Permutation-based optimization problems are a class of combinatorial optimization problems that naturally arises in many real world applications and theoretical scenarios where an optimal ordering or ranking of items has to be found with respect to one or more objective criteria. Some popular examples are: flowshop scheduling problem, traveling salesman problem, quadratic assignment problem and linear ordering problem.

Since the first paper on the traveling salesman problem in 1985 by Goldberg, permutation problems have been recurrently addressed in the field of Evolutionary Computation (EC) from a wide variety of perspectives. Evolutionary algorithms, fitness landscape analysis, genotypic representations or probabilistic modeling of permutations are only a few of the topics that have been discussed in the literature.

The permutations space has very distinguishable properties not present in other combinatorial spaces, thus making it a very special case where ideas and concepts originated from classical mathematic fields, such as algebra, geometry, and probability theory, can be exploited and used in the design of new meta-heuristics and genetic operators. All these aspects have recently motivated a strong and ongoing research interest towards permutation problems in EC. Therefore, the special session aims to highlight the most recent advancements in the field and to bring together the EC researchers working in all the aspects of permutation problems.

Topics

Authors are invited to submit their original and unpublished work in the areas including, but not limited to:

Submission

Dates

Organizers

IEEE CEC 2017 Special Session — Recent Advances in Evolutionary Computation for Permutation Problems — Donostia - San Sebastián, Spain — June 5-8 2017