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ORCID8. SEAL 2010: Kanpur, India
- Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis, Kay Chen Tan:
Simulated Evolution and Learning - 8th International Conference, SEAL 2010, Kanpur, India, December 1-4, 2010. Proceedings. Lecture Notes in Computer Science 6457, Springer 2010, ISBN 978-3-642-17297-7
Invited Paper
- Narendra Karmarkar:
Beyond Convexity: New Perspectives in Computational Optimization. 1-23
Theoretical Developments
- Dimo Brockhoff:
Optimal µ-Distributions for the Hypervolume Indicator for Problems with Linear Bi-objective Fronts: Exact and Exhaustive Results. 24-34 - Ramnik Arora, Utkarsh Upadhyay, Rupesh Tulshyan, Joydeep Dutta:
A Parallel Algorithm for Solving Large Convex Minimax Problems. 35-44 - Mahshid Majd, Farzaneh Shoeleh, Ali Hamzeh
, Sattar Hashemi:
Towards Efficient and Effective Negative Selection Algorithm: A Convex Hull Representation Scheme. 45-54 - Farzaneh Shoeleh, Ali Hamzeh, Sattar Hashemi:
To Handle Real Valued Input in XCS: Using Fuzzy Hyper-trapezoidal Membership in Classifier Condition. 55-64 - Xin Zhao, Dongmei Wu, Yichun Yeh, Harutoshi Ogai:
Development of Optimal Control System for Safe Distance of Platooning Using Model Predictive Control. 65-74 - G. Jeyakumar, C. Shunmuga Velayutham:
A Comparative Study on Theoretical and Empirical Evolution of Population Variance of Differential Evolution Variants. 75-79 - Karel Crombecq, Tom Dhaene:
Generating Sequential Space-Filling Designs Using Genetic Algorithms and Monte Carlo Methods. 80-84
Evolutionary Algorithms and Applications
- Jinghui Zhong, Jun Zhang, Zhun Fan:
MP-EDA: A Robust Estimation of Distribution Algorithm with Multiple Probabilistic Models for Global Continuous Optimization. 85-94 - Amit Saha, Kalyanmoy Deb:
A Bi-criterion Approach to Multimodal Optimization: Self-adaptive Approach. 95-104 - Deepak Sharma:
On the Flexible Applied Boundary and Support Conditions of Compliant Mechanisms Using Customized Evolutionary Algorithm. 105-114 - Marcus Randall, Andrew Lewis:
Intensification Strategies for Extremal Optimisation. 115-124 - Helio J. C. Barbosa, Afonso C. C. Lemonge, Leonardo Goliatt da Fonseca, Heder S. Bernardino:
Comparing Two Constraint Handling Techniques in a Binary-Coded Genetic Algorithm for Optimization Problems. 125-134 - Kun Wang, Vinh Bui, Hussein A. Abbass:
Evolving Stories: Tree Adjoining Grammar Guided Genetic Programming for Complex Plot Generation. 135-145 - Nikhil Padhye, Piyush Bhardawaj, Kalyanmoy Deb:
Improving Differential Evolution by Altering Steps in EC. 146-155 - Frédéric Lardeux, Adrien Goëffon:
A Dynamic Island-Based Genetic Algorithms Framework. 156-165 - Zhi-hui Zhan, Jun Zhang, Zhun Fan:
Solving the Optimal Coverage Problem in Wireless Sensor Networks Using Evolutionary Computation Algorithms. 166-176 - Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam:
A Comparative Study of Different Variants of Genetic Algorithms for Constrained Optimization. 177-186 - Daming Shi, Martin J. Loomes, Minh Nhut Nguyen:
Evolutionary FCMAC-BYY Applied to Stream Data Analysis. 187-194 - Surya Pratap Singh, Ramalingam Anantharaj, Tamal Banerjee:
UNIFAC Group Interaction Prediction for Ionic Liquid-Thiophene Based Systems Using Genetic Algorithm. 195-204 - Abhinav Malhotra, Varun Aggarwal:
HIER-HEIR: An Evolutionary System with Hierarchical Representation and Operators Applied to Fashion Design. 205-214 - Ruochen Liu, Qifeng Lei, Jing Liu, Licheng Jiao:
A Population Diversity-Oriented Gene Expression Programming for Function Finding. 215-219
Learning Methodologies
- Martin Holena, David Linke, Uwe Rodemerck:
Evolutionary Optimization of Catalysts Assisted by Neural-Network Learning. 220-229 - Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Dominance-Based Pareto-Surrogate for Multi-Objective Optimization. 230-239 - Anna Piwonska, Franciszek Seredynski:
Learning Cellular Automata Rules for Pattern Reconstruction Task. 240-249 - Adam Ghandar, Zbigniew Michalewicz, Frank Neumann:
Evolving Fuzzy Rules: Evaluation of a New Approach. 250-259 - Marconi de Arruda Pereira, Clodoveu A. Davis Jr., João Antônio de Vasconcelos:
A Niched Genetic Programming Algorithm for Classification Rules Discovery in Geographic Databases. 260-269 - S. Chokkalingham, N. Chandrasekhar, M. Vasudevan:
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. 270-278 - Hitoshi Iima, Yasuaki Kuroe:
Swarm Reinforcement Learning Method Based on an Actor-Critic Method. 279-288 - Nugroho Fredivianus, Holger Prothmann, Hartmut Schmeck:
XCS Revisited: A Novel Discovery Component for the eXtended Classifier System. 289-298 - Paul Grouchy, Gabriele M. T. D'Eleuterio:
Supplanting Neural Networks with ODEs in Evolutionary Robotics. 299-308 - Yusuke Nojima, Shingo Mihara, Hisao Ishibuchi:
Parallel Distributed Implementation of Genetics-Based Machine Learning for Fuzzy Classifier Design. 309-318 - António Gaspar-Cunha, Fernando Mendes, João M. M. Duarte, Armando Vieira, Bernardete Ribeiro, André Ribeiro, João Carvalho das Neves:
Multi-Objective Evolutionary Algorithms for Feature Selection: Application in Bankruptcy Prediction. 319-328 - T. Robinson, Atulya K. Nagar, S. Jebasingh:
Tile Pasting P System with Multiple-Edge Pasting. 329-338 - Abhirami Baskaran, Dhivya Karthikeyan, Anusha T. Swamy:
Modeling and Automation of Diagnosis and Treatment of Diabetes. 339-348 - Václav Snásel, Pavel Krömer, Jan Platos, Ajith Abraham:
The Evolution of Fuzzy Classifier for Data Mining with Applications. 349-358 - Marcus Henrique Soares Mendes, Gustavo Luís Soares, João Antônio de Vasconcelos:
PID Step Response Using Genetic Programming. 359-368 - Markus Borschbach, Christian Grelle, Sascha Hauke:
Divide and Evolve Driven by Human Strategies. 369-373 - Avnish K. Bhatia, Monika Sodhi, Dinesh K. Yadav, B. Prakash:
A Genetic Algorithm for Assigning Individuals to Populations Using Multi-locus Genotyping. 374-378 - Indrani Goswami (Chakraborty), Pradipta Kumar Das, Amit Konar, Ramadoss Janarthanan:
Extended Q-Learning Algorithm for Path-Planning of a Mobile Robot. 379-383 - Dharani Punithan, Jerome Marhic, Kangil Kim, Jakramate Bootkrajang, Robert Ian (Bob) McKay, Naoki Mori:
An XML Format for Sharing Evolutionary Algorithm Output and Analysis. 384-388 - Moisés Martínez, Gustavo Recio, Pablo García, Emilio Martín, Yago Sáez:
Car Setup Optimisation. 389-393
Multi-Objective Evolutionary Algorithms and Applications
- Gideon Avigad, Erella Eisenstadt:
Robustness of Multi-objective Optimal Solutions to Physical Deterioration through Active Control. 394-403 - Pawan K. S. Nain, S. Sharma, J. M. Giri:
Non-dimensional Multi-objective Performance Optimization of Single Stage Thermoelectric Cooler. 404-413 - Arup Kumar Nandi, Shubhabrata Datta:
Multi-Objective Optimization of Particle Reinforced Silicone Rubber Mould Material for Soft Tooling Process. 414-423 - S. B. D. V. P. S. Anauth, Robert T. F. Ah King:
Comparative Application of Multi-Objective Evolutionary Algorithms to the Voltage and Reactive Power Optimization Problem in Power Systems. 424-434 - Rupesh Kumar Srivastava, Kalyanmoy Deb:
Bayesian Reliability Analysis under Incomplete Information Using Evolutionary Algorithms. 435-444 - Aditya Arikere, Gurunathan Saravana Kumar, Sandipan Bandyopadhyay:
Optimisation of Double Wishbone Suspension System Using Multi-Objective Genetic Algorithm. 445-454 - Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka:
Self-Controlling Dominance Area of Solutions in Evolutionary Many-Objective Optimization. 455-465 - Kiyoharu Tagawa, Yukinori Sasaki, Hiroyuki Nakamura:
Optimum Design of Balanced SAW Filters Using Multi-Objective Differential Evolution. 466-475 - Yogesh K. Anand, Sanjay Srivastava, Kamal Srivastava:
Optimizing the Risk of Occupational Health Hazard in a Multiobjective Decision Environment using NSGA-II. 476-484 - Dilip Datta, Akan Kumar Das:
Tuning Process Parameters of Electrochemical Machining Using a Multi-objective Genetic Algorithm: A Preliminary Study. 485-493 - Gideon Avigad, Erella Eisenstadt, Miri Weiss-Cohen:
The Optimization versus Survival Problem and Its Solution by an Evolutionary Multi Objective Algorithm. 494-503 - Siddharth Pal, Aniruddha Basak, Swagatam Das, Ponnuthurai N. Suganthan:
Synthesis of Difference Patterns for Monopulse Antenna Arrays - An Evolutionary Multi-objective Optimization Approach. 504-513 - K. V. R. B. Prasad, Pravin M. Singru:
Performance of Lognormal Probability Distribution in Crossover Operator of NSGA-II Algorithm. 514-522 - Enrico Rigoni, Alessandro Turco:
Metamodels for Fast Multi-objective Optimization: Trading Off Global Exploration and Local Exploitation. 523-532 - Shu-Hsien Liao, Chia-Lin Hsieh:
Integrated Location-Inventory Retail Supply Chain Design: A Multi-objective Evolutionary Approach. 533-542 - Xinrui Duan, Jing Liu, Li Zhang, Licheng Jiao:
Multi-Objective Job Shop Scheduling Based on Multiagent Evolutionary Algorithm. 543-552 - Xinrui Duan, Jing Liu, Ruochen Liu, Licheng Jiao:
A Preference Oriented Two-Layered Multiagent Evolutionary Algorithm for Multi-Objective Job Shop Problems. 553-557 - João Batista Mendes, João Antônio de Vasconcelos:
Using an Adaptation of a Binary Search Tree to Improve the NSGA-II Nondominated Sorting Procedure. 558-562 - G. N. Sashi Kumar, Ajit Kumar Mahendra, A. Sanyal, G. Gouthaman:
A Hybrid Method for Multi-Objective Shape Optimization. 563-567 - Indranil Banerjee, Prasun Das:
Evolutionary Multi-Objective Bacterial Swarm Optimization (MOBSO): A Hybrid Approach. 568-572 - Ashutosh Tiwari, Christopher Turner, Peter David Ball, Kostas Vergidis:
Multi-Objective Optimisation of Web Business Processes. 573-577 - Vipin K. Tripathi, Hiten M. Chauhan:
Multi Objective Optimization of Planetary Gear Train. 578-582 - Piotr Wozniak:
Multi-objective Control Systems Design with Criteria Reduction. 583-587 - Vui Ann Shim, Kay Chen Tan, Jun Yong Chia:
Probabilistic Based Evolutionary Optimizers in Bi-objective Travelling Salesman Problem. 588-592
Hybrid Algorithms
- Siddharth Pal, Aniruddha Basak, Swagatam Das:
Automatic Shape Independent Shell Clustering Using an Ant Based Approach. 593-602 - Cem Celal Tutum, Kalyanmoy Deb, Jesper Henri Hattel:
Hybrid Search for Faster Production and Safer Process Conditions in Friction Stir Welding. 603-612 - Vidyut Dey, Dilip Kumar Pratihar, Gauranga Lal Datta:
Hybrid Optimization Scheme for Radial Basis Function Neural Network. 613-622 - Muthu Naveen, Shankar Jayaraman, Vinay Ramanath, Shamik Chaudhuri:
Modified Levenberg Marquardt Algorithm for Inverse Problems. 623-632 - Rituparna Datta:
Constrained Engineering Design Optimization Using a Hybrid Bi-objective Evolutionary-Classical Methodology. 633-637
Industrial Applications
- Robert J. Lygoe, Mark Cary, Peter J. Fleming:
A Many-Objective Optimisation Decision-Making Process Applied to Automotive Diesel Engine Calibration. 638-646 - Vineet R. Khare, Halasya Siva Subramania:
A Modular Decision-Tree Architecture for Better Problem Understanding. 647-656 - Rahul Caprihan, Jannes Slomp, Gursaran Srivastava, Khushboo Agarwal:
Virtual Manufacturing Cell Design Using a PSO Approach with Alternative Neighbourhood Topologies. 657-666 - Wa Si, Harutoshi Ogai, Tansheng Li, Masatoshi Ogawa, Katsumi Hirai, Hidehiro Takahashi:
Energy Saving System for Office Lighting by Using PSO and ZigBee Network. 667-676 - Vikas K. Garg, Nukala Viswanadham:
EcoSupply: A Machine Learning Framework for Analyzing the Impact of Ecosystem on Global Supply Chain Dynamics. 677-686 - Henrik Saxén, Frank Pettersson:
A Data-Mining Method for Detection of Complex Nonlinear Relations Applied to a Model of Apoptosis in Cell Populations. 687-695 - Dhanesh Padmanabhan, Rajkumar Vaidyanathan:
An Implementation of Pareto Set Pursuing Technique for Concept Vehicle Design. 696-705 - Vikas K. Garg, M. Narasimha Murty:
EPIC: Efficient Integration of Partitional Clustering Algorithms for Classification. 706-710 - Vikas K. Garg:
Toward Optimal Disk Layout of Genome Scale Suffix Trees. 711-715
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