-------- Original-Nachricht -------- Betreff: [computational.science] CFP - Special Issue on: Bio-Inspired Business Systems Datum: Sat, 8 Nov 2008 18:37:42 +0100 Von: Ajith Abraham abraham.ajith@gmail.com Antwort an: ajith.abraham@ieee.org Organisation: "OptimaNumerics" An: Computational Science Mailing List computational.science@lists.optimanumerics.com

Call For Papers

INFORMATION SCIENCES JOURNAL - Informatics and Computer Science Intelligent Systems Applications An International Journal

Special Issue on: Bio-Inspired Business Systems

Aim and Scope

Computational and financial econometrics has been of interest for a wide variety of researchers in economics, finance, statistics, mathematics and computing. Financial time series analysis focus on asset valuations over time with emphases on option pricing, volatility measurement, and modelling market microstructure effects. Apart from theoretical developments,financial time series analyses also have a high empirical content. The computational aspects of such analyses are of crucial importance since one typically deals with high-dimensional problems and large numbers of observations. Existing algorithms often do not utilize the best computational techniques for efficiency, stability, or conditioning. Furthermore, environments for conducting econometrics are inherently computer based. Integrated econometrics packages have grown well over the years, but still have much room for development. The field of biologically inspired computing has advanced rapidly over the past decade. One offshoot of this progress has been the development of plethoras of biologically inspired algorithms. Broadly speaking, biologically inspired algorithms draw metaphorical inspiration from diverse sources, including the operation of biological neurons, processes of evolution, models of social interaction amongst organisms, and natural immune systems, in order to develop tools for solving real-world problems. The behavior of social insects e.g. ant, bees, bacterial, birds etc largely influence several problem solving metaphors.The problem encompasses from cargo scheduling, routing, service management, telecommunication management, financial forecasting, human resource modeling and many more. The potential of web intelligence merged with biological algorithms also drastically contribute the manifold avenues of implementing different random distribution strategies on web paradigm especially web based adslot management etc. This could be the next generation commitment of business.

This special issue is devoted to advances in theory and applications of the Bio-inspired computational Intelligence in Business Systems. Roughly speaking, to develop effective and bio-intelligent business applications and services, it is crucial to discover useful knowledge through analyzing large amounts of contents, hidden content structures, or usage patterns of web data resources. For example, more and more business transactions are processed via the Internet. Digital content is distributed online, transactions are managed and sensitive information is exchanged. The development and realization of business models for secure, user-friendly and technically efficient distribution of virtual goods – e.g. MP3-files – is the emphasis in the business area "Media Distribution and Security. To achieve such a goal, a variety of techniques in diverse research areas is needed to integrate properly, including artificial neural networks, Genetic algorithm, rough sets, evolutionary algorithms and business intelligence applications such as Mission-critical and integral to an enterprise's operations or occasional to meet a special requirement, enterprise-wide or local to one division, department, or project, centrally initiated or driven by user demand, etc. This special issue intends to provide a premier and open forum for the dissemination of innovative bio-inspired computational techniques in business intelligence systems applications. Original papers previously unpublished and not currently under review by another journal are solicited that cover one or more of the following topics, but are not limited to:

Multi-agent model of interbank payment system and future developments

Ant Colony in business management

Heuristic Portfolio Optimization and Risk Management

Pricing in incomplete markets

Automated Trading

High frequency financial econometrics\

Market Maker Models

Financial Contagion: Evolutionary optimization for multinational agent –based model

Trader psychometrics: the real time assessment of electronic trading behaviour

Bee colony optimization in scheduling

Behavioral Modeling of human being with bio-agents

Biotechnology business with adaptive bio-inspired strategies

Cargo management and scheduling

Chemotaxix and its variances in structural biotechnology.

Collective Intelligence in Business group

Customer relation management

Distributed computing using bio-inspired-intelligence

Effective service Management

Foraging in Business

Credit Fraud Detection

Financial modeling and risk management through ant, bees etc

Grid computing through bio-inspired algorithm

Measuring Human resource and modeling

Knowledge sharing

Credit Risk Analysis

Mining social networks and graph data

Natural computing in Business Strategy formulation

New product lunching strategy through bio-reinforcement

Service Management

Supply Chain Logistics

Telecomm. Scheduling and routing impact on tariff management

Web based business models managed through natural algorithms

Important dates

Initial Manuscript submission: 1 December 2008

Preliminary results: 30 March 2009

Revised version: 30 April 2009

Notification: 30 May 2009

Final manuscripts due: 30 June 2009

Anticipated publication: Autumn 2009

Paper Submission

Authors are encouraged to submit high-quality; original work that has neither appeared in, nor is under consideration by, other journals should be submitted to the Guest Editors using the following emails: aboitcairo@gmail.com and ajith.abraham@ieee.org.

In parallel, manuscripts should be submitted online at http://ees.elsevier.com/ins/ by the date of initial submission, double spaced in 11 or 12-point fonts, with no more than 45 pages, inclusive of all references, figures and tables. Submitted manuscripts will be reviewed according to the peer review policy of the Information Sciences Journal as available on-line at www.elsevier.com/locate/ins. As papers are uploaded, authors should make sure to select the correct special issue (select "Special Issue: Bio-Inspired Business Systems" when reaching the Article Type step). Only original and unpublished papers will be considered.

Guest editors

Aboul Ella Hassanien, Cairo University Faculty of Computer and Information Information Technology Department 5 Ahmed Zewal St., Orman, Giza, Egypt E-mail: Aboitcairo@gmail.com WWW: http://www.softcomputing.net/~abo

Ajith Abraham Center for Quantifiable Quality of Service in Communication Systems Norwegian University of Science and Technology O.S. Bragstads plass 2E, N-7491 Trondheim, Norway Email: ajith.abraham@ieee.org, abraham.ajith@acm.org WWW: http://www.softcomputing.net/

Graham Kendall School Of Computer Science University of Nottingham Jubilee Campus, Wollaton Road, Nottingham NG8 1BB, UK Email: : gxk@cs.nott.ac.uk WWW : http://www.cs.nott.ac.uk/~gxk

Dietmar Maringer Faculty of Economics and Business Administration, University of Basel, Switzerland.,Basel Petersgraben 51 CH 4003 Basel, Switzerland Email: Dietmar.Maringer@unibas.ch WWW: http://139.141.236.140/exchweb/bin/redir.asp?URL=http://www.wwz.unibas.ch

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