Differential Evolution

  in Special Issue   Posted on August 13, 2017

Information for the Special Issue

Submission Deadline: Thu 01 Mar 2018
Journal Impact Factor : 3.893
Journal Name : Swarm and Evolutionary Computation
Journal Publisher:
Website for the Special Issue: http://www.journals.elsevier.com/swarm-and-evolutionary-computation//call-for-papers/special-issue-on-differential-evolution
Journal & Submission Website: http://www.journals.elsevier.com/swarm-and-evolutionary-computation/

Special Issue Call for Papers:

Differential Evolution (DE) is a population-based metaheuristic characterised by moving operators that require the support of other solutions and a one-to-one replacement scheme.

After its definition in 1995, as a modified Nelder-Mead algorithm to empirically solve an industrial problem, DE has been broadly used and investigated. A plenty of applications of DE as well as many variants has been proposed over the past two decades. In particular, multiple implementations aiming at enhancing upon the original DE performance on some classes of problems.

These enhancing implementations range from minor changes, such as a randomisation of a parameter, to major redesigns of parts of the DE structures. Examples of enhancing schemes include the integration of local search within some section of DE, the employment of multiple search operators, increase in the exploitation of the search operators, the randomisation of one or more parts of the algorithmic structure, and adaptive/self-adaptive rules in various phases of the optimisation. It must be remarked that the enhanced DE implementations never modify the one-to-one survivor selection that is a main trait of the DE algorithm.

The DE algorithm has been used on a large number of real-world applications in various fields, including for example design engineering, economics and bioinformatics. Some valuable studies attempt to integrate the problem information into modified DE in order to tailor the search to the specific problem.

This special issue aims at collecting recent advances in DE and covers different aspect of this algorithmic structure. We welcome theoretical studies, implementation studies, novel implementation, and applications of DE.

Authors are invited to submit their original and unpublished work in the areas including (but not limited to) the following:

  • Theoretical analysis of the search mechanism, complexity of DE
  • Adaptation and tuning of the control parameters of DE
  • Development of new vector perturbation techniques for DE
  • Adaptive mixing of the perturbation techniques
  • Balancing explorative and exploitative tendencies in DE and memetic DE
  • DE for finding multiple global optima
  • DE for noisy and dynamic objective functions
  • DE for multi-objective optimization
  • Robust DE Variants
  • Rotationally Invariant DE
  • Constraints handling with DE
  • DE for high-dimensional optimization
  • DE-variants for handling mixed-integer, discrete, and binary optimization problems
  • Hybridization of DE with other search methods
  • Hybridization with Paradigms such as Neuro-fuzzy, Statistical Learning, Machine Learning, etc.
  • Development of challenging problem sets for DE
  • Applications of DE in any domain

Important dates (tentative)

  • Initial Submission: 1st March 2018
  • Expected Notification: 1st July 2018
  • Resubmission: 1st September 2018
  • Expected Notification (Revision): 1st October 2018
  • Final Submission: 1st November 2018
  • Decision Notification: 31st December 2018
  • Publication: 2019

Guest Editors:

Janez Brest
University of Maribor, Slovenia

Ferrante Neri
De Montfort University, United Kingdom

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