Special Issue on

Evolutionary Algorithms and Machine Learning

Evolutionary Algorithms are randomized optimization methods. They are inspired by principles of biological evolution, however, applied in a technical context for the solution of mathematical or technical optimization problems. The goal of this special issue is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in this area of Evolutionary Algorithms and Machine Learning.

In this special issue, we invite front-line researchers and authors to submit original research and review articles that explore Evolutionary Algorithms and Machine Learning. In this special issue, potential topics include, but are not limited to:

• Genetic algorithm
• Genetic programming
• Evolutionary programming
• Evolution strategy
• Differential evolution
• Neuroevolution
• Learning classifier system

Authors should read over the journal’s For Authors carefully before submission. Prospective authors should submit an electronic copy of their complete manuscript through the journal’s Paper Submission System.

Please kindly specify the “Special Issue” under your manuscript title. The research field “Special Issue – Evolutionary Algorithms and Machine Learning” should be selected during your Submission.

Special Issue timetable:

Guest Editor:

For further questions or inquiries

Please contact the Editorial Assistant at

ajcm@scirp.org