Swarm Intelligence (SI) is a computational intelligence technique which mimics and makes use of the collective behavior (e.g. fish, birds, bees, ants, bacteria etc.) for solving search and optimization problems. The resulting algorithms are thus population-based systems of simple individuals interacting with one another and with their environment. Differential Evolution (DE) is a special example of optimizer since it shares some features with SI, mainly in the interaction amongst particles and selection scheme, but can also be considered as an Evolutionary Algorithm (EA). This symposium gathers new theoretical and implementation results, applications, reviews, and comparative studies. A special emphasis will be given on those studies which attempt to explain the working principles of the algorithms.


Authors are invited to submit their original and unpublished work in the areas including, but not limited to, the following.


Algorithms:

Differential Evolution

Particle Swarm Optimization

- Ant Colony Optimization

- Bees Algorithms

- Bacteria Foraging Optimization

Artificial Immune System

DNA Computing

Organic Computing

Quantum Computing

Social Evolution

Stochastic Diffusion Search

Swarm Robotics

Memetic Computing

Hybridization DE/SI with other methods


Theoretical/Implementation Aspects:

Novel operators

Adaptation

Convergence

Randomization of components

Structured Population

Hybridization of global optimizers


Problem Scenarios:

Constrained Optimization

Multimodal Optimization

Multi-objective Optimization and Decision Making

Combinatorial Optimization

Discrete/Binary Optimization

Continuous Optimization

Noisy and Dynamic Fitness

Large Scale Problems

Computationally Expensive Fitness


Applications (of SI and DE):

Engineering and control systems

Bio-informatics

Business and Economics

Data Mining and Clustering

Scheduling and Time-tabling

Supply Chain Management

Games

Image Analysis

Signal Processing

Wireless Sensor Networks


The accepted papers will be published on the Springer Lecture Notes in Artificial Intelligence. 


The best papers presented at the symposium will be considered for publication, in an extended version, on the Elsevier Journal

Swarm and Evolutionary Computation



SYMPOSIUM CHAIRS

(in alphabethical order)



JANEZ BREST

University of Maribor, Slovenia


MAURICE CLERC

Independent Consultant


FERRANTE NERI

University of Jyväskylä, Finland


PROGRAM CHAIRS

(in alphabetical order)



TIM BLACKWELL

Goldsmiths College


SWAGATAM DAS

Indian Statistical Institute, India


NICOLAS MONMARCHÉ

University of Tours, France


PONNUTHURAI N. SUGANTHAN

Nanyang Technological University, Singapore


IMPORTANT DATES



Initial Submission: October 20, 2011

EXTENDED TO November 10, 2011!!!!


Notification of Acceptance:

December 1, 2011


Sumbission of camera-ready papers:

January 15, 2012


Conference Dates and Location:

29 April - 3 May 2012

Zakopane, Poland


REGISTRATION


A single registration will allow the partecipation of both the events




CONTACTS



For questions and clarifications contact:


janez.brest@uni-mb.si

maurice.clerc@writeme.com

ferrante.neri@jyu.fi


PROGRAM COMMITEE


- Ashish Anand, India

- Borko   Boskovic, Slovenia

- Jagdish Chand Bansal, India

- Carlos Coello Coello, Mexico

- Iztok Fister, Slovenia

- Bogdan Filipic, Slovenia

- Sheldon Hui, Singapore

- Peter D. Justesen, Denmark

- Nicolas Labroche, France

- Jane Liang, China

- Hongbo Liu, China

- Efren  Mezura Montes, Mexico

- A. Nakib, France

- Rammohan Mallipeddi, Korea

- Slawomir Nasuto, UK

- Jouni   Lampinen, Finland

- Mirjam Sepesy Maucec, Slovenia

- Marjan Mernik, Slovenia

- Godfrey Onwubolu, Canada

- Jérôme Emeka  Onwunalu,  Canada

- Quanke Pan, China

- Gregor Papa,  Slovenia

- Boyang Qu, China

- Shahryar Rahnamayan, Canada

- Jurij  Silc, Slovenia

- Josef Tvrdik, Czech Republic

- M. N. Vrahatis, Greece

- Daniela Zaharie,  Romania

- Ales Zamuda, Slovenia

- Qingfu Zhang, UK

- Shizheng Zhao,  Singapore

 

Call for Papers