Research Seminar

Prof Enrique Alba

Parallel Multiobjective Optimization

15 August 2019

This talk introduces the basic concepts of two fields of research: Parallelism and Multiobjective optimization. Dealing with complex problems means optimizing a given metric, like the error when doing machine learning. There are many algorithms and tools to do so, but usually the plain basic concepts found in science are weak so as to solve real world problems.

Amongst the many ways to improve existing techniques, we here focus on the mentioned two. First, multiobjective modeling of complex problems is a main avenue for including the real features and preferences of the designer into the computer tools used. Because of the added complexity, and because of the naturally heavy requirements of big data and processes, parallelism comes handy as a privileged way to have a solution in affordable times, and even as a new way of building multiobjective algorithms of higher accuracy and diverse Pareto fronts.

We will revise the main concepts, tools, metrics, open issues, and application domains related to parallel models of search, optimization, and learning techniques. We also will describe new techniques and trends in multiobjective research in relation to metaheuristics. Facts, methodology, and general open issues will be presented in this talk.

Prof. Enrique Alba had his degree in engineering and PhD in Computer Science in 1992 and 1999, respectively, by the University of Málaga (Spain). He works as a Full Professor in this university with varied teaching duties: data communications, distributed programing, software quality, and also evolutionary algorithms, bases for R+D+i and smart cities, both at graduate and master/doctoral programs. Prof. Alba leads an international team of researchers in the field of complex optimization/learning with applications in smart cities, bioinformatics, software engineering, telecoms, and others. In addition to the organization of international events (ACM GECCO, IEEE IPDPS-NIDISC, IEEE MSWiM, IEEE DS-RT, smart-CT…) Prof. Alba has offered dozens postgraduate courses, more than 70 seminars in international institutions, and has directed many research projects (7 with national funds, 5 in Europe, and numerous bilateral actions). Also, Prof. Alba has directed 12 projects for innovation in companies (OPTIMI, Tartessos, ACERINOX, ARELANCE, TUO, INDRA, AOP, VATIA, EMERGIA, SECMOTIC, ArcelorMittal, ACTECO, CETEM, EUROSOTERRADOS) and has worked as invited professor at INRIA, Luxembourg, Ostrava, Japan, Argentina, Cuba, Uruguay, and Mexico. He is editor in several international journals and book series of Springer-Verlag and Wiley, as well as he often reviews articles for more than 30 impact journals. He is included in the list of most prolific DBLP authors, and has published 107 articles in journals indexed by ISI, 11 books, and hundreds of communications to scientific conferences. He is included in the top ten most relevant researchers in Informatics in Spain (ISI), and is the most influent researcher of UMA in engineering (webometrics), with 13 awards to his professional activities. Pr. Alba’s H index is 55, with more than 15,000 cites to his work.