Evolutionary Algorithms

This workshop will bring together key researchers for a concentrated discussion of theory and applications of evolutionary algorithms, including genetic algorithms, evolution strategies and evolutionary programming. The workshop will be organized around a limited number of plenary lectures with generous blocks of time for interactive discussion sessions.

The workshop will begin with a series of expository talks that overview the foundations of these fields and define critical issues to be discussed during the workshop. A major goal is to use discussion time to communicate recent research results and to bridge the gap between theory and applications. The workshop will also assess the state of the current mathematical underpinning of the field and reconcile some of the diverse theoretical perspectives of the various participants. The workshop will emphasize high-performance computing using parallel evolutionary algorithms and hybrid algorithms in critical state-of-the-art applications.

The workshop will be of interest to:

• practitioners from industry with applications in search, optimization, and machine learning;
• mathematicians working in dynamical systems and Markov processes; and
• persons interested in application areas and algorithms for high-performance computing.