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


List of Accepted Papers

Beyond Convexity: New Perspectives in Computational Optimization Narendra Karmarkar
Optimal mu-Distributions for the Hypervolume Indicator for Problems With Linear Bi-Objective Fronts: Exact and Exhaustive Results Dimo Brockhoff
A Parallel Algorithm for Solving Large Convex Minimax Problems Ramnik Arora, Utkarsh Upadhyay, Rupesh Tulshyan, and J. Dutta
Towards Efficient and Effective Negative Selection Algorithm: A Convex Hull Representation Scheme Mahshid Majd, Farzaneh Shoeleh, Ali Hamzeh, and Sattar Hashemi
To Handle Real Valued Input in XCS: Using Fuzzy Hyper-trapezoidal Membership in Classifier Condition Farzaneh Shoeleh, Ali Hamzeh and Sattar Hashemi
Development of Optimal Control System for Safe Distance of Platooning Using Model Predictive Control Xin Zhao, Dongmei Wu, Yichun Yeh, and Harutoshi Ogai
A Comparative Study on Theoretical and Empirical Evolution of Population Variance of Differential Evolution Variants G. Jeyakumar and C. Shunmuga Velayutham
Generating Sequential Space-filling Designs Using Genetic Algorithms and Monte Carlo Methods Karel Crombecq and Tom Dhaene

MP-EDA: A Robust Estimation of Distribution Algorithm with Multiple Probabilistic Models for Global Continuous Optimization Jing-hui Zhong, Jun Zhang and Zhun Fan
A Bi-criterion Approach to Multimodal Optimization: Self-Adaptive Approach Amit Saha and Kalyanmoy Deb
On the Flexible Applied Boundary and Support Conditions of Compliant Mechanisms using Customized Evolutionary Algorithm Deepak Sharma
Intensification Strategies for Extremal Optimisation Marcus Randall and Andrew Lewis
Comparing two constraint handling techniques in a binary-coded genetic algorithm for optimization problems Helio J.C. Barbosa, Afonso C.C. Lemonge, Leonardo G. Fonseca, and Heder S. Bernardino
Evolving stories: Tree Adjoining Grammar Guided Genetic Programming for Complex Plot Generation Kun Wang, Vinh Q. Bui, and Hussein A. Abbass
Improving Differential Evolution by Alterning Steps in EC Nikhil Padhye, Piyush Bhardawaj, and Kalyanmoy Deb
A Dynamic Island-Based Genetic Algorithms Framework Frederic Lardeux Adrien Goeffon
Solving the Optimal Coverage Problem in Wireless Sensor Networks Using Evolutionary Computation Algorithms Zhi-hui Zhan, Jun Zhang and Zhun Fan
A Comparative Study of Different Variants of Genetic Algorithms for Constrained Optimization Saber M. Elsayed, Ruhul A. Sarker, and Daryl L. Essam
Evolutionary FCMAC-BYY Applied to Stream Data Analysis D. Shi, M. Loomes and M. N. Nguyen
UNIFAC Group Interaction Prediction for Ionic Liquid-Thiophene based Systems using Genetic Algorithm Surya Pratap Singh, Ramalingam Anantharaj and Tamal Banerjee
HIER-HEIR: An Evolutionary System with Hierarchical Representation & Operators Applied to Fashion Design Abhinav Malhotra and Varun Aggarwal
A Population Diversity-oriented Gene Expression Programming for Function Finding Ruochen Liu, Qifeng Lei, Jing Liu, and Licheng Jiao

Evolutionary Optimization of Catalysts Assisted by Neural-Network Learning Martin Holena, David Linke, and Uwe Rodemerck
Dominance-Based Pareto-Surrogate for Multi-Objective Optimization Ilya Loshchilov, Marc Schoenauer, and Michele Sebag
Learning Cellular Automata Rules for Pattern Reconstruction Task Anna Piwonska and Franciszek Seredynski
Evolving Fuzzy Rules: Evaluation of a New Approach Adam Ghandar, Zbigniew Michalewicz, and Frank Neumann
A Niched Genetic Programming Algorithm for Classification Rules Discovery in Geographic Databases Marconi de Arruda Pereira, Clodoveu Augusto Davis Júnior and João Antônio de Vasconcelos
Artificial Neural Network Modeling for Estimating the Depth of Penetration and Weld Bead Width from the Infra Red Thermal Image of the Weld Pool During A-TIG Welding Chokkalingham, S., Chandrasekhar, N., and Vasudevan, M.
Swarm Reinforcement Learning Method Based on an Actor-Critic Method Hitoshi Iima and Yasuaki Kuroe
XCS Revisited: A Novel Discovery Component for the eXtended Classifier System Nugroho Fredivianus, Holger Prothmann, and Hartmut Schmeck
Supplanting Neural Networks with ODEs in Evolutionary Robotics Paul Grouchy and Gabriele M.T. D’Eleuterio
Parallel Distributed Implementation of Genetics-based Machine Learning for Fuzzy Classifier Design Yusuke Nojima, Shingo Mihara, and Hisao Ishibuchi
Multi-Objective Evolutionary Algorithms for Feature Selection: Application in Bankruptcy Prediction Antonio Gaspar-Cunha, Fernandes Mendes, Joao Duarte, Armando Vieira, Bernardete Ribeiro, Andre Ribeiro, and Joao Neves
Tile Pasting P System with Multiple-Edge Pasting T. Robinson, Atulya K. Nagar, and S. Jebasingh
Modeling and Automation of Diagnosis and Treatment of Diabetes Abhirami Baskaran, Dhivya Karthikeyan, and Anusha T Swamy
The Evolution of Fuzzy Classifier for Data Mining with Applications Vaclav Snasel, Pavel Kromer, Jan Platos, and Ajith Abraham
PID Step Response Using Genetic Programming Marcus Henrique Soares Mendes, Gustavo Luís Soares, and João Antônio de Vasconcelos
Divide and Evolve driven by Human Strategies Markus Borschbach, Christian Grelle, and Sascha Hauke
A Genetic Algorithm for Assigning Individuals to Populations using Multi-locus Genotyping Avnish K. Bhatia , Monika Sodhi, Dinesh K. Yadav, and B. Prakash
Extended Q-learning Algorithm for Path-Planning of a Mobile Robot Indrani Goswami (Chakraborty), Pradipta Kumar Das, Amit Konar, and R. Janarthanan
An XML Format for Sharing Evolutionary Algorithm Output and Analysis Dharani Punithan, Jerome Marhic, Kangil Kim, Jakramate Bootkrajang, RI (Bob) McKay, and Naoki Mori
Car Setup Optimisation Moises Martinez, Gustavo Recio, Pablo Garcia, Emilio Martin, and Yago Saez

Robustness of Multi-objective Optimal Solutions to Physical Deterioration through Active Control Gideon Avigad and Erella Eisenstadt
Non-Dimensional Multi-Objective Performance Optimization of Single Stage Thermoelectric Cooler Nain P.K.S., Sharma S., and Giri J.M.
Multi-objective Optimization of Particle Reinforced Silicone Rubber Mould Material for Soft Tooling Process Arup Kumar Nandi and Shubhabrata Datta
Comparative Application of Multi-Objective Evolutionary Algorithms to the Voltage and Reactive Power Optimization Problem in Power Systems S. B. Dharam Veer, P. S. Anauth and Robert T. F. Ah King
Bayesian Reliability Analysis under Incomplete Information using Evolutionary Algorithms Rupesh Kumar Srivastava and Kalyanmoy Deb
Optimisation of Double Wishbone Suspension System using Multi-Objective Genetic Algorithm Aditya Arikere, Gurunathan Saravana Kumar, and Sandipan Bandyopadhyay
Self-Controlling Dominance Area of Solutions in Evolutionary Many-objective Optimization Hiroyuki Sato, Hernan E. Aguirre, and Kiyoshi Tanaka
Optimum Design of Balanced SAW Filters Using Multi-Objective Differential Evolution Kiyoharu Tagawa, Yukinori Sasaki, and Hiroyuki Nakamura
Optimizing the Risk of Occupational Health Hazard in a Multiobjective Decision Environment using NSGA-II Yogesh K Anand, Sanjay Srivastava, and Kamal Srivastava
Tuning Process Parameters of Electrochemical Machining using a Multi-Objective Genetic Algorithm: A Preliminary Study Dilip Datta and Akan Kumar Das
The Optimization versus Survival Problem and its solution by an Evolutionary Multi Objective Algorithm Gideon Avigad, Erella Eisenstadt, and Miri Weiss
Synthesis of Difference Patterns for Monopulse Antenna Arrays – an Evolutionary Multi-objective Optimization Approach Siddharth Pal, Aniruddha Basak, Swagatam Das and P. N. Suganthan
Performance of Lognormal Probability Distribution in Crossover Operator of NSGA-II Algorithm K.V.R.B. Prasad and Pravin M. Singru
Metamodels for Fast Multi-Objective Optimization: Trading Off Global Exploration and Local Exploitation Enrico Rigoni and Alessandro Turco
Integrated Location-Inventory Retail Supply Chain Design: A Multi-Objective Evolutionary Approach Shu-Hsien Liao and Chia-Lin Hsieh
Multi-objective Job Shop Scheduling Based on Multiagent Evolutionary Algorithm Xinrui Duan, Jing Liu, Li Zhang, and Licheng Jiao
A Preference Oriented Two-layered Multiagent Evolutionary Algorithm for Multi-objective Job Shop Problems Xinrui Duan, Jing Liu, Ruochen Liu, and Licheng Jiao
Using an Adaptation of a Binary Search Tree to Improve the NSGA-II Nondominated Sorting Procedure João Batista Mendes and João Antônio de Vasconcelos
A hybrid method for multi-objective shape optimization Sashi Kumar G.N., Mahendra A.K., Sanyal A., and Gouthaman G.
Evolutionary Multi-objective Bacterial Swarm Optimization (MOBSO): A Hybrid Approach Indranil Banerjee and Prasun Das
Multi-objective Optimisation of Web Business Processes Ashutosh Tiwari, Christopher Turner, Peter Ball and Kostas Vergidis
Multi Objective Optimization of Planetary Gear Train Vipin K. Tripathi and Hiten M. Chauhan
Multi-objective Control Systems Design with Criteria Reduction Piotr Woźniak
Probabilistic based Evolutionary Optimizers in Bi- objective Travelling Salesman Problem Vui Ann Shim, Kay Chen Tan and Jun Yong Chia

Automatic shape independent Shell Clustering using an Ant Based Approach Siddharth Pal, Aniruddha Basak, and Swagatam Das
Hybrid Search for Faster Production and Safer Process Conditions in Friction Stir Welding Cem Celal Tutum, Kalyanmoy Deb, and Jesper Hattel
Hybrid Optimization Scheme for Radial Basis Function Neural Network Vidyut Dey, Dilip Kumar Pratihar, and Gauranga Lal Datta
Modified Levenberg Marquardt Algorithm for Inverse Problems Muthu Naveen, Shankar Jayaraman, Vinay Ramanath, and Shamik Chaudhuri
Constrained Engineering Design Optimization using a Hybrid Bi-Objective Evolutionary-Classical Methodology Rituparna Datta

A Many-Objective Optimisation Decision-Making Process applied to Automotive Diesel Engine Calibration Robert J Lygoe, Mark Cary, and Peter J Fleming
A Modular Decision-Tree Architecture for Better Problem Understanding Vineet R. Khare and Halasya Siva Subramania
Virtual Manufacturing Cell Design Using a PSO Approach with Alternative Neighbourhood Topologies R. Caprihan, J. Slomp, Gursaran, and K. Agarwal
Energy Saving System for Office Lighting by Using PSO and ZigBee Network Wa Si, Harutoshi Ogai, Tansheng Li, Masatoshi Ogawa, Katsumi Hirai, and Hidehiro Takahashi
EcoSupply: A Machine Learning Framework for Analyzing the Impact of Ecosystem on Global Supply Chain Dynamics Vikas K. Garg and N. Viswanadham
A Data-Mining Method for Detection of Complex Nonlinear Relations Applied to a Model of Apoptosis in Cell Populations Henrik Saxén and Frank Pettersson
An Implementation of Pareto Set Pursuing Technique for Concept Vehicle Design Dhanesh Padmanabhan and Rajkumar Vaidyanathan
EPIC: Efficient Integration of Partitional Clustering Algorithms for Classification 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.