INISTA 2010
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ACCEPTED SPECIAL SESSIONS

Special Session on Artificial Bee Colony Algorithm for Discrete/Combinatorial Optimization Problems

In general, swarm intelligence is based on collective behavior of self-organized systems. As a typical example of swarm intelligence, the bee swarming around her hive has received significant interest from researchers. Recently, by modeling the specific intelligent behaviors of honey bee swarms, an artificial bee colony (ABC) algorithm is developed by Karaboga in to optimize multi-variable and multi-modal continuous functions. Inspired by the intelligent foraging behavior of honeybee swarm, the ABC algorithm classifies the foraging artificial bees into three groups; namely, employed bees, onlookers and scouts. A bee that is currently exploiting a food source is called an employed bee. A bee waiting in the hive for making decision to choose a food source is named as an onlooker. A bee carrying out a random search for a new food source is called a scout. In the ABC algorithm, each solution to the problem under consideration is called a food source and represented by an n-dimensional real-valued vector, whereas the fitness of the solution corresponds to the nectar amount of the associated food resource. Similar to the other swarm intelligence based approaches, the ABC algorithm is an iterative process. It starts with a population of randomly generated solutions or food sources.

Papers Submission and Publication
Information concerning paper submission and publication can be found on the page.

Important dates:
The deadlines are the same as for General Conference Sessions.

Session Organizer:
M. Fatih Tasgetiren, PhD
Associate Professor,
Industrial Engineering Department,
Yasar University, Izmir, Turkey
Email: fatih.tasgetiren@yasar.edu.tr
Dr. Fatih Tasgetiren received his BS and MS degress from Istanbul Technical University, Istanbul, Turkey, in 1982 and 1988 respectively. He received his PhD degree from Istanbul University, Istanbul, Turkey, in 1996. He has worked as a member of academic staff in various universities including Auburn University (USA), Fatih University (Turkey), Sakarya University (Turkey) and Sultan Qaboos University (Oman). He is currenly an associate professor at the Department of Industrial Engineering, Yasar University, Turkey. His current research interests include intelligent optimization techniques and their applications.


 

Special Session on Computational Intelligence for Modeling and Simulation in Electronics

The session is mainly intended to be an open forum for discussion on the current trends and future directions of scientific computing in electronics engineering. Its aim is to bring together colleagues from university and industry with the goal of stimulating discussion on knowledge-enhanced or computational intelligence methods for modeling and simulation of electronic devices, algorithms for VLSI, simulation of micro and nano structures, simulation of integrated circuits and computational electromagnetism. The emphasis of the contributions is interdisciplinary; drawing on expertise in computational intelligence and electronics engineering.

Topics of interest include but are not limited to:
1. Modeling and Simulation of Semiconductor Devices
2. Computational Electromagnetism and Circuit Simulation
3. Physical Modeling for CAD Applications
4. Device Modeling and Parameter Extraction
5. Ultrasmall Silicon Transistors and Optoelectronic Devices
6. Novel Numerical Algorithm and Simulation Methodology
7. Modeling and Simulation of Nanoelectronic structures and devices

Papers Submission and Publication
Information concerning paper submission and publication can be found on the page.

Important dates:
The deadlines are the same as for General Conference Sessions.

Session Organizer:
Mutlu AVCI
Assistant Professor at
Computer Enginerring Dpt.
Faculty of Engineering & Architect
Cukurova University, Adana, Turkey
mavci@cu.edu.tr
http://bmb.cu.edu.tr/mavci