Date: Mon, 14 May 2007 22:36:44 -0400 Reply-To: Evolutionary Computation Digest <[log in to unmask]> Sender: Evolutionary Computation Digest <[log in to unmask]> From: Ozlem Ozmen Garibay <[log in to unmask]> Subject: EC-Digest v21n5 Comments: To: [log in to unmask] Content-Type: text/plain; charset="US-ASCII" Evolutionary Computation Digest Monday, May, 14 2007 Volume 21 : Issue 5 SUBMISSION ADDRESS: [log in to unmask] LIST INFORMATION: http://ec-digest.research.ucf.edu/ OLD LIST ARCHIVE: http://www.aic.nrl.navy.mil/galist/ NEW LIST ARCHIVE: http://listserv.gmu.edu/cgi-bin/wa?A0=EC-DIGEST-L (UN)SUBSCRIPTION INSTRUCTIONS: at the bottom of this email -------------------------------- Today's Topics: ANNOUNCEMENTS ------------- - Fully-funded EPSRC PhD Studentship / Scholarship - New Journal: SWARM INTELLIGENCE - PyGEP: Gene Expression Programming for Python - PhD position in mathematical modelling and genetic algorithms - AAAI-07 Video Competition CFPs ---- - Call for Chapters: Computational Methods in Gene Regulatory Networks - CFP: MICAI-2007, Artificial Intelligence, Springer LNAI + journals - NICSO 2007 call for paper -------------------------------- CALENDAR OF GA-RELATED ACTIVITIES: (with EC-Digest issue reference) GECCO-2007, Genetic and Evolutionary Conference, London,UK,July 7-11,07 (v21n1) ECAL'07, 9th European Conf. on Artificial Life, Lisbon, Sept 10-14,07 (v21n3) IEEE CEC-07, IEEE Cong. on Evolutionary Comp, Singapore, Sept 25-28,07 (v20n10) EA'07, 8th Intl Conf on Artificial Evolution, Tours, Oct 29-31,07 (v21n4) IICAI'07, 3rd Indian Intl Conf on Artificial Intell, India, Dec 17-19,07(v21n3) Send announcements of other activities to [log in to unmask] -------------------------------- Sender: Xin Yao <[log in to unmask]> Subject: Fully-funded EPSRC PhD Studentship / Scholarship Fully-funded EPSRC PhD Studentship / Scholarship at CERCIA, the University of Birmingham, UK (http://www.cercia.ac.uk/projects/research/SEBASE/vacancies.php) Title: Study of fitness landscapes arising from software engineering problems. In this project, the successful applicant will study and characterise fitness landscapes arising from software engineering (SE) problems, e.g., through statistical and visualisation techniques. In doing so, the applicant will draw upon and extend advanced landscape characterisation methodology from diverse fields, including evolutionary computation, biology, chemistry and physics. This research will complement ongoing theoretical research in the group on the runtime analysis of evolutionary algorithms on SE problems. The successful applicant must have at least a 2.1 or above degree in computer science or a closely related field. We do consider outstanding applicants from mathematics, physics and engineering as long as they have sufficient computer science background. A good knowledge of optimisation is required, especially a good understanding and practical experience with modern meta-heuristics, including evolutionary algorithms, estimation of distribution algorithms, simulated annealing and others. The successful applicant must have excellent programming skills and knowledge of software engineering. S/he must be an excellent team player who can work independently and communicate well with others. The Studentship / Scholarship Duration: Up to three years (subject to satisfactory progress). Payments: Living expenses: minimum GBP12,500 per year tax-free; plus tuition fee fully paid. Eligibility: Open to European Union/United Kingdom applicants only. Deadline: Until the post is filled. How to Apply For more information on the PhD programme at Birmingham: http://www.cs.bham.ac.uk/admissions/postgraduate-research/. For more information about the project: http://www.cercia.ac.uk/projects/research/SEBASE/. For technical enquiries only: Prof. Xin Yao ([log in to unmask]) -------------------------------- Sender: Marco DORIGO <[log in to unmask]> Subject: New Journal: SWARM INTELLIGENCE Dear all, this short message is to announce "Swarm Intelligence", a new quarterly journal published by Springer. The first issue is forecast for the Summer 2007. Information on the journal, including its aims and scope, is available at http://www.springer.com/11721 Papers can be submitted using Springer's Editorial Manager at http://www.editorialmanager.com/swrm/ Your contributions are welcome. Sincerely, Marco Dorigo ========================================================================= Marco Dorigo, Ph.D.mdorigo@(no.spam)ulb.ac.be Directeur de Recherches du FNRShttp://iridia.ulb.ac.be/~mdorigo/ IRIDIA CP 194/6Skype: mdorigo Universite' Libre de BruxellesTel +32 (0)2 6503169 Avenue Franklin Roosevelt 50GSM +32 478 301233 1050 BruxellesFax +32 (0)2 6502715 BelgiumSec +32 (0)2 6502729 ========================================================================= -------------------------------- Sender: Candida Ferreira <[log in to unmask]> Subject: PyGEP: Gene Expression Programming for Python Dear Colleagues, There's another open source GEP library released under the GNU. Its owner is Ryan O'Neil, a graduate student from George Mason University. In his words, "PyGEP is a simple library suitable for academic study of Gene Expression Programming in Python 2.5, aiming for ease of use and rapid implementation. It provides standard multigenic chromosomes; a population class using elitism and fitness scaling for selection; mutation, crossover and transposition operators; and some standard GEP functions and linkers." PyGEP is hosted at: http://code.google.com/p/pygep/ It looks really nice and a good GEP implementation and Ryan seems to be working really hard to maintain and improve it. So please go take a look and join the project. Best wishes, Candida Ferreira, Ph.D. Founder and Director, Gepsoft http://www.gene-expression-programming.com/author.asp -------------------------------- Sender: James Smith <[log in to unmask]> Subject: PhD position in mathematical modelling and genetic algorithms Hi, The University of the West of England, Bristol, in collaboration with the Uk Office of National Statistics has an EPSRC-funded PhD position in Mathematical Modelling and Evolutionary algorithms. Further details may be found at : http://info.uwe.ac.uk/vacancies/job_details.asp?ref=PHD/030507 Dr Jim Smith Senior Lecturer Faculty of Computing Engineering and Mathematical Sciences University of the West of England Bristol BS16 1QY UK e: [log in to unmask] t: +44 (0) 117 3283161 f: +44 (0)117 3283182 w: www.cems.uwe.ac.uk/~jsmith -------------------------------- Sender: R. Paul Wiegand <[log in to unmask]> Subject: AAAI-07 Video Competition AAAI solicits submissions for a new online video competition. The goal of this competition is to communicate to the World how much fun AI (research and application) is and, in particular, to document exciting research and applications using artificial intelligence. The rules are simple: Compose a short video about an exciting AI project, and narrate it in a way that makes your video accessible to a broad online audience. Accepted videos will be displayed in the AAAI-07 registration area on Monday, 23 July. During that evening's session (co-timed and nearby the location of the AAAI-07 reception), the developers of the best videos will be presented with awards. We strongly encourage student participation. This is your chance to make a cool online video about your AI research and/or application, and get a ton of attention! For more information, see: http://www.aivideo.org/ -------------------------------- Sender: Sanjoy Das <[log in to unmask]> Subject: Call for Chapters: Computational Methods in Gene Regulatory Networks Submission Deadlines: proposals due on June 15, 2007, full manuscripts due on December 15, 2007 COMPUTATIONAL METHODOLOGIES IN GENE REGULATORY NETWORKS URL: www.ksu.edu/cmgrn Email: [log in to unmask] A book edited by Doina Caragea, Sanjoy Das, W. H. Hsu, Stephen M. Welch, Kansas State University, USA. INTRODUCTION Recent advances in gene sequencing technology are shedding light on the complex interplay between genes that elicit phenotypic behavior characteristic of any given organism. It is now known that in order to mediate external as well as internal signals, an organism's genes are organized into complex signaling pathways. Unfortunately, unraveling the specific details about how these genetic pathways interact to regulate development, life histories, and respond to environmental cues, is proving to be a daunting task. A wide variety of models depicting gene-gene interactions, that are commonly referred to as gene regulatory networks (GRNs), have been proposed. A wide variety of computational tools are available for modeling gene regulatory networks. OVERALL OBJECTIVES A gene regulatory network (GRN) must be able to mimic experimentally observed behavior and also be computationally tractable. Under these circumstances, model simplicity is an important trade-off for functional fidelity. Modeling approaches taken by researchers are wide and disparate. Some gene regulatory networks are modeled entirely using non-parametric approaches such as Bayesian or neural networks, while some others represent genes in very physically realistic differential equation formats. The book will focus on the computational methods widely used in modeling gene regulatory networks, including structure discovery, learning and optimization. Both research and survey papers are welcome. TARGET AUDIENCE Biologists: The book can provide a comprehensive overview of computational intelligence approaches for learning and optimization and their use in gene regulatory networks to biologists. Computer Scientists: The book can assist computer scientists interested in gene regulatory network modeling. Classroom instructors and students: Although not a textbook, the book can serve as an excellent reference or supplementary material. ' Graduate students: As the book would bridge the gap between artificial intelligence and genomic research communities, it will be very useful to graduate students considering interdisciplinary research in this direction. Practicing computer scientists and geneticists: The book would be useful to those interested in gene regulatory network modeling. Recommended topics include, but are not limited to, the following: Introduction to GRNs Introduction to graphical approaches for GRNs Bayesian network models for gene network models Petri nets and GRN models Dynamic Bayesian network GRNs Structure learning of GRNs Neural network based GRNs Boolean GRNs Temporal Boolean GRNs Probabilistic Boolean GRNs Machine learning in Boolean networks for GRNs Differential equation based GRNs Stochastic optimization algorithms for GRNs Evolutionary optimization in GRNs GRNs using the S-system formalism Optimization of S-system GRNs INQUIRIES Inquiries and submissions can be forwarded electronically (pdf or word document) to: [log in to unmask] More information can be found at the proposed book's website: www.ksu.edu/cmgrn [... edited due to length .... ] -------------------------------- Sender: <[log in to unmask]> Subject: CFP: MICAI-2007, Artificial Intelligence, Springer LNAI + journals MICAI 2007: 6th Mexican International Conference on ARTIFICIAL INTELLIGENCE www.MICAI.org/2007 November 5-9, Aguascalientes, Mexico Proceedings: Springer LNAI & special issues of journals Submission deadline: June 10 (title & abstract; see below) GENERAL INFORMATION Topics of interest include all areas of Artificial Intelligence. Poster session, workshops, tutorials, and cultural events are planned. The recent MICAI events (2005 and 2006) received over 420 submissions from over 40 countries each. The acceptance rate (oral session) was below 28%. Among the keynote speakers were John McCarthy, Tom Mitchell, Ronald Yager, to name just a few. The conference attracted over 500 attendees. PROCEEDINGS AND SUBMISSION Papers accepted for oral session will be published by Springer in LNAI: Lecture Notes in Artificial Intelligence. Poster session papers will be published separately. Special issues of journals are anticipated. Submissions are received via webpage; see guidelines there. By June 10, abstract and title is to be registered; the full text is uploaded later. IMPORTANT DATES June 10: Registration of abstracts. June 17: Uploading of full text of registered papers. July 20: Acceptance notification. August 19: Camera-ready and payment deadline. CONTACT General inquiries: micai2007 at MICAI dot org; see www.MICAI.org/2007. -------------------------------- Sender: Mario Pavone <[log in to unmask]> Subject: NICSO 2007 call for paper NICSO 2007 - International Workshop on Nature Inspired Cooperative Strategies for Optimization Acireale, Italy, November 8-10 2007 http://www.dmi.unict.it/nicso2007/ Biological and natural processes have always been a source of inspiration for computer science and information technology in many real-world applications. Its well known that biological entities, from single cell organisms - like bacteria - to humans, often engage on a rich repertoire of social interaction that could range from altruistic cooperation through open conflict. One specific kind of social interaction is cooperative problem solving (CPS), where a group of autonomous entities work together to achieve certain goal. NICSO 2007 is the second edition of the Workshop and it aims are to give a deeper investigation and a vigorous exchange of ideas about emerging research areas in problem solving strategies. All submitted papers will be blind reviewed and acceptance will be based on originality, significance, technical soundness and clarity. Selected contributions will be published in a proceedings book with ISBN. The length of each contribution will not exceed 12 pages (see the NICSO 2007 web site for formatting instructions). The authors of the best selected papers will be invited to adapt and extend their works for the publication in an International Journal. In the previous edition of the workshop the best selected papers were published in International Journal on Intelligent Systems. For more information see http://www.dmi.unict.it/nicso2007/ *** IMPORTANT DATES *** * Deadline for Submission:July, 23 * Notification of Acceptance:September, 24 * Deadline for Camera-ready:October, 9 *** TOPICS *** Topics of interest are, but not limited to: * Ants Colonies * Amorphous Computing * Artificial Immune Systems * Distributed Computing * Evolvable Systems * Membrane Computing * Quantum Computing * Software Self Assembly * Swarm Intelligence [... edited due to length .... ] -------------------------------- (UN)SUBSCRIPTION INSTRUCTIONS: - Send submissions (articles) to [log in to unmask] DO NOT send submissions to the [log in to unmask] address. - To subscribe send email to [log in to unmask] containing the following text in the body of the message: subscribe ec-digest-l - To unsubscribe send email to [log in to unmask] containing the following text in the body of the message: unsubscribe ec-digest-l - To change your email address, simply unsubscribe the old address and subscribe the new one. - Send other administrative requests to [log in to unmask] - For further information about the digest, see http://ec-digest.research.ucf.edu -------------------------------- End of Evolutionary Computation Digest ********************************