SEAL 2010

Eighth International Conference on

Simulated Evolution And Learning (SEAL-2010)
01 - 04 December 2010, Indian Institute of Technology Kanpur, India
 
   
 
Evolutionary computation and learning approaches are two fundamental methods of adaptation which received an increasing attention over the past years. Simulated Evolution and Learning (SEAL-2010) is the eighth biennial conference which will be followed after a series of successful SEAL conferences, the last being organized at the University of Melbourne, Australia in December 2008. Cross-fertilisation between evolutionary learning and other machine learning approaches, such as neural network learning, reinforcement learning, decision tree learning, fuzzy system learning, etc., will be encouraged by the conference. The other major theme of the conference is optimisation by evolutionary approaches or hybrid evolutionary approaches. The topics of interest to this conference include but are not limited to the following: Evolutionary Learning; Evolutionary Optimisation (single and multi-objective); Hybrid Learning; Hybrid optimization, Adaptive Systems; Theoretical Issues in Evolutionary Computation; Real-World Applications of Evolutionary Computation and learning Techniques. See Call For Papers for further details.
 
 

The Eighth International Conference on Simulated Evolution And Learning (SEAL-2010)

1-4 December, 2010, IIT Kanpur, India

http://www.iitk.ac.in/kangal/seal10/

 

List of Papers Selected for Poster Presentation

Poster Session: Day 3: Friday, 03 December 2010 (3:40 PM to 5:15 PM)
A Comparative Study on Theoretical and Empirical Evolution of Population Variance of Differential Evolution Variants Generating Sequential Space-filling Designs Using Genetic Algorithms and Monte Carlo Methods
G. Jeyakumar and C. Shunmuga Velayutham Karel Crombecq and Tom Dhaene
A Population Diversity-oriented Gene Expression Programming for Function Finding A Genetic Algorithm for Assigning Individuals to Populations using Multi-locus Genotyping
Ruochen Liu, Qifeng Lei, Jing Liu, and Licheng Jiao Avnish K. Bhatia , Monika Sodhi, Dinesh K. Yadav, and B. Prakash
Divide and Evolve driven by Human Strategies Extended Q-learning Algorithm for Path-Planning of a Mobile Robot
Markus Borschbach, Christian Grelle, and Sascha Hauke Indrani Goswami Chakraborty, Pradipta Kumar Das, Amit Konar, and R. Janarthanan
An XML Format for Sharing Evolutionary Algorithm Output and Analysis Car Setup Optimisation
Dharani Punithan, Jerome Marhic, Kangil Kim, Jakramate Bootkrajang, RI (Bob) McKay, and Naoki Mori Moises Martinez, Gustavo Recio, Pablo Garcia, Emilio Martin, and Yago Saez
A Preference Oriented Two-layered Multiagent Evolutionary Algorithm Using an Adaptation of a Binary Search Tree to Improve the NSGA-II Nondominated Sorting Procedure
Xinrui Duan, Jing Liu, Ruochen Liu, and Licheng Jiao Joao Batista Mendes and Joao Antonio de Vasconcelos
A hybrid method for multi-objective shape optimization Evolutionary Multi-objective Bacterial Swarm Optimization (MOBSO): A Hybrid Approach
G.N. Sashi Kumar, A.K. Mahendra, A. Sanyal, and G. Gouthaman Indranil Banerjee and Prasun Das
Multi-objective Optimisation of Web Business Processes Multi Objective Optimization of Planetary Gear Train
Ashutosh Tiwari, Christopher Turner, Peter Ball and Kostas Vergidis Vipin K. Tripathi and Hiten M. Chauhan
Multi-objective Control Systems Design with Criteria Reduction Probabilistic based Evolutionary Optimizers in Bi-objective Travelling Salesman Problem
Piotr Wozniak Vui Ann Shim, Kay Chen Tan and Jun Yong Chia
Constrained Engineering Design Optimization using a Hybrid Bi-Objective Evolutionary-Classical Methodology EPIC: Efficient Integration of Partitional Clustering Algorithms for Classification
Rituparna Datta Vikas K. Garg and M. N. Murty
Toward Optimal Disk Layout of Genome Scale Suffix Trees
Vikas K. Garg



 
 
Kanpur Genetic Algorithms Laboratory (KanGAL), SEAL-2010.