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   Keynotes and Special Events

Mark Harman
Professor of Software Engineering.
Head of the Software Systems Engineering Group.
Director of the CREST centre.
Department of Computer Science, University College London.

Software Engineering: An Ideal Set of Challenges for Evolutionary Computation

This talk will explain some of the many exciting challenges that software engineering poses to the evolutionary computation community. Software is an engineering material to be optimised. Until comparatively recently many computer scientists doubted this; why would one want to optimise something that could be made perfect by pure logical reasoning? However, the wider community has come to realise that, while very small programs may be perfect in isolation, larger software systems may never be (because the world in which they operate is not perfect). Once we accept this, we soon arrive at evolutionary computation as a means of optimising software. However, software is not merely another engineering material to be optimised. Software is virtual and inherently adaptive, making it better suited to evolutionary computation than any other engineering material. As we shall see in this talk, this is leading to breakthroughs at the interface of software engineering and evolutionary computation, though there are still many exciting open problems for evolutionary commutation researchers to get their teeth into.

The talk will cover recent developments in Search Based Software Engineering (SBSE) and Dynamic Adaptive SBSE, focussing on work at the interface of software engineering and evolutionary computation. 

Biography

Mark Harman is professor of Software Engineering in the Department of Computer Science at University College London where he directs the CREST centre. He is widely known for work on source code analysis and testing and was instrumental in the founding of the field of Search Based Software Engineering (SBSE), the topic of this keynote. Since its inception in 2001, SBSE has rapidly grown to include over 800 authors, from 270 institutions spread over 40 countries.

 

 

Xin Yao
Chair (Professor) of Computer Science and the Director of CERCIA
(the Centre of Excellence for Research in Computational Intelligence and
Applications), University of Birmingham, UK.

Challenges and Opportunities in Dynamic Optimisation

Xin Yao (http://www.cs.bham.ac.uk/~xin/)

Dynamic optimisation has been studied for many years within the evolutionary
computation community. Many strategies have been proposed to tackle the
challenge, e.g., memory schemes, multiple populations, random immigrants,
restart schemes, etc. This talk will first review a few of such strategies in
dealing with dynamic optimisation. Then some less researched areas are
discussed, including dynamic constrained optimisation, dynamic combinatorial
optimisation, time-linkage problems, and theoretical analyses in dynamic
optimisation. A couple of theoretical results, which were rather unexpected at
the first sight, will be mentioned. Finally, a few future research directions
are highlighted. In particular, potential links between dynamic optimisation
and online learning are pointed out as an interesting and promising research
direction in combining evolutionary computation with machine learning.

Biography

Xin Yao is a Chair (Professor) of Computer Science and the Director of CERCIA
(the Centre of Excellence for Research in Computational Intelligence and
Applications), University of Birmingham, UK. He is an IEEE Fellow and a
Distinguished Lecturer of IEEE Computational Intelligence Society (CIS).
His work won the 2001 IEEE Donald G. Fink Prize Paper Award, 2010 IEEE
Transactions on Evolutionary Computation Outstanding Paper Award, 2010 BT
Gordon Radley Award for Best Author of Innovation (Finalist), 2011 IEEE
Transactions on Neural Networks Outstanding Paper Award, and other best
paper awards at conferences. He won the prestigious Royal Society Wolfson
Research Merit Award in 2012 and the 2013 IEEE CIS Evolutionary Computation
Pioneer Award. He was the Editor-in-Chief (2003-08) of IEEE Transactions on
Evolutionary Computation, President-Elect (2013) and President (2014-15) of
IEEE CIS. His major research interests include evolutionary computation and
ensemble learning. His work in evolutionary dynamic optimisation has been
supported by two EPSRC grants and industry since 2007.

 
 
  keynotes:
Software Engineering: An Ideal Set of Challenges for Evolutionary Computation
Challenges and Opportunities in Dynamic Optimisation

 

 

 

 
 
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