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E-raamat: Simulated Evolution and Learning: 8th International Conference, SEAL 2010, Kanpur, India, December 1-4, 2010, Proceedings

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  • Sari: Lecture Notes in Computer Science 6457
  • Ilmumisaeg: 22-Nov-2010
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Keel: eng
  • ISBN-13: 9783642172984
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  • Formaat: PDF+DRM
  • Sari: Lecture Notes in Computer Science 6457
  • Ilmumisaeg: 22-Nov-2010
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Keel: eng
  • ISBN-13: 9783642172984
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ThisLNCSvolumecontainsthepaperspresentedatthe8thSimulatedEvolution and Learning (SEAL 2010) Conference held during December 1-4, 2010 at the Indian Institute of Technology Kanpur in India. SEAL is a prestigious inter- tional conference series in evolutionaryoptimization and machine learning. This biennial event started in Seoul, South Korea in 1996 and was thereafter held in Canberra, Australia in 1998, Nagoya, Japan in 2000, Singapore in 2002, Busan, South Korea in 2004,Hefei, China in 2006and Melbourne, Australia in 2008. SEAL 2010 received 141 paper submissions in total from 30 countries. After a rigorous peer-review process involving 431 reviews in total (averaging a little morethan3reviewsperpaper),60full-lengthand19shortpaperswereaccepted for presentation (both oral and poster) at the conference. The full-length papers alonecorrespondtoa42. 6%acceptancerateandshortpapersaddanother13. 5%. ThepapersincludedinthisLNCSvolumecoverawiderangeoftopicsinsi- latedevolutionandlearning. Theacceptedpapershavebeenclassi edintothef- lowingmaincategories:(a)theoreticaldevelopments,(b)evolutionaryalgorithms andapplications,(c)learningmethodologies,(d)multi-objectiveevolutionary- gorithms and applications,(e) hybrid algorithms and (f) industrial applications. The conference featured three distinguished keynote speakers. Narendra Karmarkar's talk on "Beyond Convexity: New Perspectives in Computational Optimization" focused on providing new theoretical concepts for non-convex optimization and indicated a rich connection between optimization and ma- ematical physics and also showed a deep signi cance of advanced geometry to optimization. The advancement of optimization theory for non-convex problems is bene cial for meta-heuristic optimization algorithms such as evolutionary - gorithms. Manindra Agrawal's talk on "PRIMES is in P" provided a mu- improved version of his celebrated and ground-breaking 2002 work on poly- mial time algorithm for testing prime numbers. The theoretical computation work presented in this keynote lecture should be motivating for the evolutionary optimization and machine learning community at large.
Invited Paper
Beyond Convexity: New Perspectives in Computational Optimization
1(23)
Narendra Karmarkar
Theoretical Developments
Optimal μ-Distributions for the Hypervolume Indicator for Problems with Linear Bi-objective Fronts: Exact and Exhaustive Results
24(11)
Dimo Brockhoff
A Parallel Algorithm for Solving Large Convex Minimax Problems
35(10)
Ramnik Arora
Utkarsh Upadhyay
Rupesh Tulshyan
J. Dutta
Towards Efficient and Effective Negative Selection Algorithm: A Convex Hull Representation Scheme
45(10)
Mahshid Majd
Farzaneh Shoeleh
Ali Hamzeh
Sattar Hashemi
To Handle Real Valued Input in XCS: Using Fuzzy Hyper-trapezoidal Membership in Classifier Condition
55(10)
Farzaneh Shoeleh
Ali Hamzeh
Sattar Hashemi
Development of Optimal Control System for Safe Distance of Platooning Using Model Predictive Control
65(10)
Xin Zhao
Dongmei Wu
Yichun Yeh
Harutoshi Ogai
A Comparative Study on Theoretical and Empirical Evolution of Population Variance of Differential Evolution Variants
75(5)
G. Jeyakumar
C. Shunmuga Velayutham
Generating Sequential Space-Filling Designs Using Genetic Algorithms and Monte Carlo Methods
80(5)
Karel Crombecq
Tom Dhaene
Evolutionary Algorithms and Applications
MP-EDA: A Robust Estimation of Distribution Algorithm with Multiple Probabilistic Models for Global Continuous Optimization
85(10)
Jing-Hui Zhong
Jun Zhang
Zhun Fan
A Bi-criterion Approach to Multimodal Optimization: Self-adaptive Approach
95(10)
Amit Saha
Kalyanmoy Deb
On the Flexible Applied Boundary and Support Conditions of Compliant Mechanisms Using Customized Evolutionary Algorithm
105(10)
Deepak Sharma
Intensification Strategies for Extremal Optimisation
115(10)
Marcus Randall
Andrew Lewis
Comparing Two Constraint Handling Techniques in a Binary-Coded Genetic Algorithm for Optimization Problems
125(10)
Helio J.C. Barbosa
Afonso C.C. Lemonge
Leonardo G. Fonseca
Heder S. Bernardino
Evolving Stories: Tree Adjoining Grammar Guided Genetic Programming for Complex Plot Generation
135(11)
Kun Wang
Vinh Q. Bui
Hussein A. Abbass
Improving Differential Evolution by Altering Steps in EC
146(10)
Nikhil Padhye
Piyush Bhardawaj
Kalyanmoy Deb
A Dynamic Island-Based Genetic Algorithms Framework
156(10)
Frederic Lardeux
Adrien Goeffon
Solving the Optimal Coverage Problem in Wireless Sensor Networks Using Evolutionary Computation Algorithms
166(11)
Zhi-Hui Zhan
Jun Zhang
Zhun Fan
A Comparative Study of Different Variants of Genetic Algorithms for Constrained Optimization
177(10)
Saber M. Elsayed
Ruhul A. Sarker
Daryl L. Essam
Evolutionary FCMAC-BYY Applied to Stream Data Analysis
187(8)
D. Shi
M. Loomes
M.N. Nguyen
UNIFAC Group Interaction Prediction for Ionic Liquid-Thiophene Based Systems Using Genetic Algorithm
195(10)
Surya Pratap Singh
Ramalingam Anantharaj
Tarnal Banerjee
HIER-HEIR: An Evolutionary System with Hierarchical Representation and Operators Applied to Fashion Design
205(10)
Abhinav Malhotra
Varan Aggarwal
A Population Diversity-Oriented Gene Expression Programming for Function Finding
215(5)
Ruochen Liu
Qifeng Lei
Jing Liu
Licheng Jiao
Learning Methodologies
Evolutionary Optimization of Catalysts Assisted by Neural-Network Learning
220(10)
Martin Holena
David Linke
Uwe Rodemerck
Dominance-Based Pareto-Surrogate for Multi-Objective Optimization
230(10)
Ilya Loshchilov
Marc Schoenauer
Michele Sebag
Learning Cellular Automata Rules for Pattern Reconstruction Task
240(10)
Anna Piwonska
Franciszek Seredynski
Evolving Fuzzy Rules: Evaluation of a New Approach
250(10)
Adam Ghandar
Zbigniew Michalewicz
Frank Neumann
A Niched Genetic Programming Algorithm for Classification Rules Discovery in Geographic Databases
260(10)
Marconi de Arruda Pereira
Clodoveu Augusto Davis Junior
Joao Antonio 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
270(9)
S. Chokkalingham
N. Chandrasekhar
M. Vasudevan
Swarm Reinforcement Learning Method Based on an Actor-Critic Method
279(10)
Hitoshi Iima
Yasuaki Kuroe
XCS Revisited: A Novel Discovery Component for the eXtended Classifier System
289(10)
Nugroho Fredivianus
Holger Prothmann
Hartmut Schmeck
Supplanting Neural Networks with ODEs in Evolutionary Robotics
299(10)
Paul Grouchy
Gabriele M.T. D'Eleuterio
Parallel Distributed Implementation of Genetics-Based Machine Learning for Fuzzy Classifier Design
309(10)
Yusuke Nojima
Shingo Mihara
Hisao Ishibuchi
Multi-Objective Evolutionary Algorithms for Feature Selection: Application in Bankruptcy Prediction
319(10)
Antonio Gaspar-Cunha
Fernando Mendes
Joao Duarte
Armando Vieira
Bernardete Ribeiro
Andre Ribeiro
Joao Neves
Tile Pasting P System with Multiple-Edge Pasting
329(10)
T. Robinson
Atulya K. Nagar
S. Jebasingh
Modeling and Automation of Diagnosis and Treatment of Diabetes
339(10)
Abhirami Baskaran
Dhivya Karthikeyan
Anusha T. Swamy
The Evolution of Fuzzy Classifier for Data Mining with Applications
349(10)
Vaclav Snasel
Pavel Kromer
Jan Platos
Ajith Abraham
PID Step Response Using Genetic Programming
359(10)
Marcus Henrique Soares Mendes
Gustavo Luis Soares
Joao Antonio de Vasconcelos
Divide and Evolve Driven by Human Strategies
369(5)
Markus Borschbach
Christian Grelle
Sascha Hauke
A Genetic Algorithm for Assigning Individuals to Populations Using Multi-locus Genotyping
374(5)
Avnish K. Bhatia
Monika Sodhi
Dinesh K. Yadav
B. Prakash
Extended Q-Learning Algorithm for Path-Planning of a Mobile Robot
379(5)
Indrani Goswami (Chakraborty)
Pradipta Kumar Das
Amit Konar
R. Janarthanan
An XML Format for Sharing Evolutionary Algorithm Output and Analysis
384(5)
Dharani Punithan
Jerome Marhic
Kangil Kim
Jakramate Bootkrajang
RI (Bob) McKay
Naoki Mori
Car Setup Optimisation
389(5)
Moises Martinez
Gustavo Recio
Pablo Garcia
Emilio Martin
Yago Saez
Multi-Objective Evolutionary Algorithms and Applications
Robustness of Multi-objective Optimal Solutions to Physical Deterioration through Active Control
394(10)
Gideon Avigad
Erella Eisenstadt
Non-dimensional Multi-objective Performance Optimization of Single Stage Thermoelectric Cooler
404(10)
P.K.S. Nain
S. Sharma
J.M. Giri
Multi-Objective Optimization of Particle Reinforced Silicone Rubber Mould Material for Soft Tooling Process
414(10)
Arup Kumar Nandi
Shubhabrata Datta
Comparative Application of Multi-Objective Evolutionary Algorithms to the Voltage and Reactive Power Optimization Problem in Power System
424(11)
S.B.D.V.P.S. Anauth
Robert T.F. Ah King
Bayesian Reliability Analysis under Incomplete Information Using Evolutionary Algorithms
435(10)
Rupesh Kumar Srivastava
Kalyanmoy Deb
Optimisation of Double Wishbone Suspension System Using Multi-Objective Genetic Algorithm
445(10)
Aditya Arikere
Gurunathan Saravana Kumar
Sandipan Bandyopadhyay
Self-Controlling Dominance Area of Solutions in Evolutionary Many-Objective Optimization
455(11)
Hiroyuki Sato
Hernan E. Aguirre
Kiyoshi Tanaka
Optimum Design of Balanced SAW Filters Using Multi-Objective Differential Evolution
466(10)
Kiyoharu Tagawa
Yukinori Sasaki
Hiroyuki Nakamura
Optimizing the Risk of Occupational Health Hazard in a Multiobjective Decision Environment Using NSGA-II
476(9)
Yogesh K. Anand
Sanjay Srivastava
Kamal Srivastava
Tuning Process Parameters of Electrochemical Machining Using a Multi-objective Genetic Algorithm: A Preliminary Study
485(9)
Dilip Datta
Akan Kumar Das
The Optimization versus Survival Problem and Its Solution by an Evolutionary Multi Objective Algorithm
494(10)
Gideon Avigad
Erella Eisenstadt
Miri Weiss
Synthesis of Difference Patterns for Monopulse Antenna Arrays An Evolutionary Multi-objective Optimization Approach
504(10)
Siddharth Pal
Aniruddha Basak
Swagatam Das
P.N. Suganthan
Performance of Lognormal Probability Distribution in Crossover Operator of NSGA-II Algorithm
514(9)
K.V.R.B. Prasad
Pravin M. Singru
Metamodels for Fast Multi-objective Optimization: Trading Off Global Exploration and Local Exploitation
523(10)
Enrico Rigoni
Alessandro Turco
Integrated Location-Inventory Retail Supply Chain Design: A Multi-objective Evolutionary Approach
533(10)
Shu-Hsien Liao
Chia-Lin Hsieh
Multi-Objective Job Shop Scheduling Based on Multiagent Evolutionary Algorithm
543(10)
Xinrui Duan
Jing Liu
Li Zhang
Licheng Jiao
A Preference Oriented Two-Layered Multiagent Evolutionary Algorithm for Multi-Objective Job Shop/Problems
553(5)
Xinrui Duan
Jing Liu
Ruochen Liu
Licheng Jiao
Using an Adaptation of a Binary Search Tree to Improve the NSGA-II Nondominated Sorting Procedure
558(5)
Joao Batista Mendes
Joao Antonio de Vasconcelos
A Hybrid Method for Multi-Objective Shape Optimization
563(5)
G.N. Sashi Kumar
A.K. Mahendra
A. Sanyal
G. Gouthaman
Evolutionary Multi-Objective Bacterial Swarm Optimization (MOBSO): A Hybrid Approach
568(5)
Indranil Banerjee
Prasun Das
Multi-Objective Optimisation of Web Business Processes
573(5)
Ashutosh Tiwari
Christopher Turner
Peter Ball
Kostas Vergidis
Multi Objective Optimization of Planetary Gear Train
578(5)
Vipin K. Tripathi
Hiten M. Chauhan
Multi-Objective Control Systems Design with Criteria Reduction
583(5)
Piotr Wozniak
Probabilistic Based Evolutionary Optimizers in Bi-objective Travelling Salesman Problem
588(5)
Vui Ann Shim
Kay Chen Tan
Jun Yong Chia
Hybrid Algorithms
Automatic Shape Independent Shell Clustering Using an Ant Based Approach
593(10)
Siddharth Pal
Aniruddha Basak
Swagatam Das
Hybrid Search for Faster Production and Safer Process Conditions in Friction Stir Welding
603(10)
Cem Celal Tutum
Kalyanmoy Deb
Jesper Hattel
Hybrid Optimization Scheme for Radial Basis Function Neural Network
613(10)
Vidyut Dey
Dilip Kumar Pratihar
Gauranga Lal Datta
Modified Levenberg Marquardt Algorithm for Inverse Problems
623(10)
Muthu Naveen
Shankar Jayaraman
Vinay Ramanath
Shamik Chaudhuri
Constrained Engineering Design Optimization Using a Hybrid Bi-objective Evolutionary-Classical Methodology
633(5)
Rituparna Datta
Industrial Applications
A Many-Objective Optimisation Decision-Making Process Applied to Automotive Diesel Engine Calibration
638(9)
Robert J. Lygoe
Mark Cary
Peter J. Fleming
A Modular Decision-Tree Architecture for Better Problem Understanding
647(10)
Vineet R. Khare
Halasya Siva Subramania
Virtual Manufacturing Cell Design Using a PSO Approach with Alternative Neighbourhood Topologies
657(10)
Rahul Caprihan
Jannes Slomp
Gursaran Srivastava
Khushboo Agarwal
Energy Saving System for Office Lighting by Using PSO and ZigBee Network
667(10)
Wa Si
Harutoshi Ogai
Tansheng Li
Masatoshi Ogawa
Katsumi Hirai
Hidehiro Takahashi
EcoSupply: A Machine Learning Framework for Analyzing the Impact of Ecosystem on Global Supply Chain Dynamics
677(10)
Vikas K. Garg
N. Viswanadham
A Data-Mining Method for Detection of Complex Nonlinear Relations Applied to a Model of Apoptosis in Cell Populations
687(9)
Henrik Saxen
Frank Pettersson
An Implementation of Pareto Set Pursuing Technique for Concept Vehicle Design
696(10)
Dhanesh Padmanabhan
Rajkumar Vaidyanathan
EPIC: Efficient Integration of Partitional Clustering Algorithms for Classification
706(5)
Vikas K. Garg
M.N. Murty
Toward Optimal Disk Layout of Genome Scale Suffix Trees
711(6)
Vikas K. Garg
Author Index 717