

Summary  Academic Activities  Publications  Tutorials  Resources  Contact Information 
Academic Activities 

Here are some things I have been or will be doing:  
Talks/Presentations  
 
Randomonia  
I was on the program committee of FOGA 2011, FOGA 2009, FOGA 2007 and the GECCO 2007 coevolution track. I have been on the program committees of the GECCO 2006, GECCO 2005, GECCO 2004 and GECCO 2003 coevolution tracks.  
I am reviewing or have reviewed papers for the following journals: IEEE Transactions on Systems, Man, and Cybernetics, IEEE Transactions on Neural Networks, IEEE Transactions on Evolutionary Computation, Artificial Life and Machine Learning Journal  
I have been known to tutor mathematics, even category theory.  
I have worked on computational biology with Dr. Jason Johnson, then at the Pfizer Discovery Technology Center in Cambridge, MA. We presented the work as a poster at ISMB 2001 in July 2001. I have also applied insights from genetic programming and coevolutionary algorithms to the computational chemistry problem of solubility prediction. This work was a strategic alliance with Pfizer, under the sponsorship of Dr. Jason Hughes. 
Dissertation 

Bucci, A. (2007). Emergent Geometric Organization and Informative Dimensions in Coevolutionary Algorithms. Presented to the faculty of the Michtom School of Computer Science at Brandeis University, 20 Jul 2007. 
Book Chapters 

Popovici, E., Bucci, A., Wiegand, P. and De Jong E.D. (2010). Coevolutionary Principles. Chapter to appear in Handbook of Natural Computing, SpringerVerlag.  
De Jong, E.D. and Bucci, A. (2008). Objective Set Compression: TestBased Problems and MultiObjective Optimization. Chapter in MultiObjective Problem Solving from Nature: From Concepts to Applications, SpringerVerlag. 
Publications and Posters 

Popovici, E., Winston, E., and Bucci, A. (2011).
On the Practicality of Optimal Output Mechanisms for Cooptimization
Algorithms. Accepted at FOGA
2011.  
Stuermer, P., Bucci, A., Branke, J., Funes, P. and Popovici, E. (2009).
Analysis of Coevolution for Worstcase Optimization. Accepted at GECCO
2009, Genetic Algorithms Track. [nominated for best paper award]  
Bucci, A. and Pollack, J.B. (2007).
Thoughts on Solution
Concepts. Accepted at
GECCO 2007, Coevolution Track.  
De Jong, E.D. and Bucci, A. (2006). DECA: Dimension Extracting Coevolutionary Algorithm. Accepted at GECCO 2006, Coevolution Track.  
Bucci, A. and Pollack, J.B. (2005). On Identifying Global Optima in Cooperative Coevolution. Accepted at GECCO 2005, Coevolution Track.  
Bucci, A., Pollack, J.B. and De Jong, E.D. (2004).
Automated Extraction of Problem Structure. Accepted at
GECCO 2004,
Coevolution Track. [nominated for best paper award]  
Bucci, A. and Pollack, J.B. (2003). Focusing versus Intransitivity: Geometrical Aspects of Coevolution. GECCO 2003, Coevolution Track.  
Bucci, A. and Pollack, J.B. (2003).
A Mathematical Framework for the Study of Coevolution.
FOGA 7:
Proceedings of the Foundations of Genetic Algorithms Workshop. (link
is a draft version; see
Morgan Kaufmann
for book details).
Errata PS PDF  
Bucci, A. and Pollack, J.B. (2002). Ordertheoretic Analysis of Coevolution Problems: Coevolutionary Statics. GECCO 2002, Workshop on Understanding Coevolution: Theory and Analysis of Coevolutionary Algorithms.  
Bucci, A. and Johnson, J.M. (2001). Neural network and genetic algorithm identification of coupling specificity and functional residues in G proteincoupled receptors. ISMB 2001 Poster Session: Alignment Techniques. 
Tutorials 

Ficici, S.G. and Bucci, A. (2007). Advanced Tutorial on Coevolution. GECCO 2007.  
Ficici, S.G. and Bucci, A. (2006). Introductory Tutorial on Coevolution. GECCO 2006. 
Resources 

The DEMO Lab at Brandeis University, directed by Professor Jordan Pollack.  
The EC Lab at George Mason University, directed by Professor Ken De Jong.  
Computational Intelligence and Coevolution Group A Google group on coevolution, part of the IEEE Evolutionary Computation Technical Committee.  
Larry Bull  
Paul Darwen  
Edwin de Jong Edwin de Jong has a nice coevolution page.  
Sevan Ficici Sevan Ficici works on understanding coevolution using Evolutionary Game Theory (EGT). He has forwarded the ideas of Pareto Coevolution and solution concept, both of which have been important in clarifying what coevolutionary algorithms do. See his dissertation for details.  
Ludo Pagie  
Mitch Potter's Dissertation Mitch Potter introduced cooperative coevolution while at Ken De Jong's EC Lab. CCEAs have been used to solve difficult problems and have become an active research area.  
Kenneth Stanley  
Richard Watson Richard Watson's SEAM algorithm has begun making inroads into the question of adapting representations in evolutionary algorithms. His numbers game work has provided a suite of test problems for coevolution which illuminate what can go wrong at the evaluation stage of a coevolutionary algorithm.  
R. Paul Wiegand Paul Wiegand works on EGT models of cooperative coevolution.  
IlliGAL Blog
A blog maintained by the folks at the Illinois Genetic Algorithms Lab.  
EMOO Repository
Resources on Evolutionary MultiObjective Optimization (EMOO). Maintained by Professor Carlos Coello Coello.  
Google Scholar is going after the niche that CiteSeer has dominated for several years. 
Contact Information 

Anthony Bucci
Computer Science Department MS018 Brandeis University Waltham MA 02454  
(781) 736 3366 office/lab (781) 736 2700 department office (781) 736 2741 department fax 
abucci ( ^ ) cs o brandeis o edu 
We can allow satellites, planets, suns, universe, nay whole systems of universes, to be governed by laws, but the smallest insect, we wish to be created at once by special act. 