Reviews and Testimonials
I highly recommend this material because of its overall quality and the author’s actual interest. Zamuda demonstrates a deep theoretical knowledge of the matter, while, at the same time, describes in first person practical applications that he has successfully developed.
– Dr. Daniel Hernández, School of Computer Engineering, University of Las Palmas de Gran Canara, SpainHighly recommended. The lecturer has long term experience with the topics and is keen to share his experience, not just general knowledge about Differential Evolution.
– Professor Ferrante Neri, De Montfort University, UK These lectures offer a nice and rather comprehensive overview of the applicative potential of population-based metaheuristics with a focus on differential evolution. The author has extensive experience in using and developing differential evolution algorithms, and this experience has allowed him to deliver a well-structured and convincing video series. Highly Recommended.
– Professor Daniela Zaharie, Department of Computer Science, West University of Timisoara, RomaniaI highly recommend this video lecture series. In my opinion, there are no weaknesses in the content and organization of the video. Students from all over the world who study global optimization and evolutionary algorithms, especially differential evolution algorithms, can greatly benefit from this series.
– Radka Polakova, University of Ostrava, Czech Republic Highly Recommended: differential evolution is nowadays one of the most popular evolutionary algorithms. This well-prepared material by Dr. Zamuda provides basic information about the algorithm as well as detailed applications in diverse domains.
– Dr. Efrén Mezura-Montes, Artificial Intelligence Research Center, University of Veracruz, MexicoDr. Zamuda is an internationally-renowned expert in differential evolution (DE). Dr. Zamuda has not only utilized DE in a diverse range of application domains, but has also significantly contributed to its success.
In this video lecture, Dr. Zamuda provides an invaluable overview of the brief history and of ongoing research efforts in the field of DE. Clearly, the video lecture's target audience has a solid background in computer science or related fields and is interested in gaining new insights in state-of-the-art optimization techniques.
– Dr. Sebastian von Mammen, Universität Augsburg, Germany