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ICEC 1996: Nagoya, Japan
- Toshio Fukuda, Takeshi Furuhashi:
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, Nayoya University, Japan, May 20-22, 1996. IEEE 1996, ISBN 0-7803-2902-3
Plenary Lectures
- John R. Koza, Forrest H. Bennett III, David Andre, Martin A. Keane:
Four Problems for which a Computer Program Evolved by Genetic Programming is Competitive with Human Performance. 1-10 - David B. Fogel, Adam Ghozeil:
Using Fitness Distributions to Design More Efficient Evolutionary Computations. 11-19
Invited Lectures
- Thomas Bäck, Hans-Paul Schwefel:
Evolutionary Computation: An Overview. 20-29 - Zbigniew Michalewicz:
Evolutionary Computation: Practical Issues. 30-39 - Takashi Gomi, Ann Griffith:
Evolutionary Robotics: An Overview. 40-49
Biologically Inspired Evolutionary Systems (1)
- Günter Rudolph:
Convergence of Evolutionary Algorithms in General Search Spaces. 50-54 - Pedro Paulo Balbi de Oliveira, Fernando Manuel Ramos, R. C. Gatto, Haroldo F. de Campos Velho, Stephan Stephany, P. L. K. G. Navarro, Phil Husbands, Inman Harvey:
A Research Agenda for Iterative Approaches to Inverse Problems Using Evolutionary Computation. 55-60 - Ajit Narayanan, Mark Moore:
Quantum Inspired Genetic Algorithms. 61-66 - Torsten Rudolph:
Discriminative Codebook Design for Critical Word Recognition Using Evolution Strategies. 67-70 - Ivan De Falco, Renato Del Balio, Antonio Della Cioppa, Ernesto Tarantino:
Breeder Genetic Algorithms for Airfoil Design Optimisation. 71-75
Machine-Learning
- Tadashi Horiuchi, Akinori Fujino, Osamu Katai, Tetsuo Sawaragi:
Q-PSP Learning: An Exploitation-Oriented Q-Learning Algorithm and Its Applications. 76-81 - Akio Ishiguro, Yuji Watanabe, Toshiyuki Kondo, Yoshiki Uchikawa:
Decentralized Consensus-Making Mechanisms Based on Immune System. Application to a Behavior Arbitration of an Autonomous Mobile Robot. 82-87 - Paul J. Darwen, Xin Yao:
Automatic Modularization by Speciation. 88-93 - Robert G. Reynolds, Chan-Jin Chung:
A Self-Adaptive Approach to Representation Shifts in Cultural Algorithms. 94-99 - Alexei N. Skurikhin, Alvin J. Surkan:
Messy Genetic Algorithm Learns a Classifier to Design Multiplexers. 100-103
GA Applications (1)
- Thomas Bäck, Jochen Heistermann, Cornelia Kappler, Michele Zamparelli:
Evolutionary Algorithms Support Refueling of Pressurized Water Reactors. 104-108 - Hideyuki Takagi, Kimiko Ohya:
Discrete Fitness Values for Improving Human Interface in an Interactive GA. 109-112 - Yuuki Yokoo, Masafumi Hagiwara:
Human Faces Detection Method Using Genetic Algorithm. 113-118 - Hisao Ishibuchi, Tadahiko Murata:
Multi-Objective Genetic Local Search Algorithm. 119-124 - Motohide Yoshimura, Shunichiro Oe:
Texture Image Segmentation by Genetic Algorithm. 125-130
Evolutionary Programming, Genetic Programming
- Jung-Min Yang, Jong-Hwan Kim:
Optimization of Discrete Event Systems Using Evolutionary Programming. 131-134 - Chengjian Wei, Susu Yao, Zhenya He:
A Modified Evolutionary Programming. 135-138 - Dijin Gong, Genji Yamazaki, Mitsuo Gen:
Evolutionary Program for Optimal Design of Material Distribution System. 139-143 - Yuji Sato, Shigeki Nagaya:
Evolutionary Algorithms that Generate Recurrent Neural Networks for Learning Chaos Dynamics. 144-149
Machine Learning
- Yoshiteru Ishida, Norihiko Adachi:
Active Noise Control by an Immune Algorithm: Adaptation in Immune System as an Evolution. 150-153 - Takashi Kawakami, Yukinori Kakazu:
A Study on Evolutionary Synthesis of Classifier System Architectures. 155-160 - Hironobu Gotoda, Yuzuru Fujiwara:
An Evolutional and Conceptual Structure Based Method of Analogical Reasoning. 161-165 - Masaru Ishida, Takehiro Ohba:
A Structured PENN Controller for a MIMO Process. 166-169
GA-Theory
- Tadahiko Murata, Hisao Ishibuchi:
Positive and Negative Combination Effects of Crossover and Mutation Operators in Sequencing Problems. 170-175 - Kazuya Takabatake, Hidekazu Miyauchi, Saburo Okada:
Schema Spectral Analysis. 176-181 - Naoyuki Kubota, Koji Shimojima, Toshio Fukuda:
The Role of Virus Infection in Virus-Evolutionary Genetic Algorithm. 182-187 - Panagiotis Adamidis, Vassilios Petridis:
Co-Operating Populations with Different Evolution Behaviours. 188-191 - Frank Vavak, Terence C. Fogarty:
Comparison of Steady State and Generational Genetic Algorithms for Use in Nonstationary Environments. 192-195 - Shu-Ming Armida Yang, Chuen-Tsai Sun, Ching-Hung Hsu:
Energy, Matter, and Entropy in Evolutionary Computation. 196-200 - Moreno Coli, G. Gennuso, Paolo Palazzari:
A New Crossover Operator for Genetic Algorithms. 201-206 - José Allen Lima, Nuno R. Gracias, Henrique Pereira, Agostinho C. Rosa:
Fitness Function Design for Genetic Algorithms in Cost Evaluation Based Problems. 207-212
Evolutionary Algorithms and Fuzzy Systems
- Hyundoo Shin, Sung-O. Jo:
The Simple Scheme of Optimizing a Fuzzy Logic System and Its Application. 213-218 - Thomas Philip Runarsson, Magnus Thor Jonsson, Pall Jensson:
Dynamic Dual Bin Packing Using Fuzzy Objectives. 219-222 - Elmer P. Dadios, David J. Williams:
A Fuzzy-Genetic Controller for the Flexible Pole-Chart Balancing Problem. 223-228 - Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata:
Genetic-Algorithm-Based Approaches to the Design of Fuzzy Systems for Multi-Dimensional Pattern Classification Problems. 229-234 - Seiichi Matsushita, A. Kuromiya, M. Yamaoka, Takeshi Furuhashi, Yoshiki Uchikawa:
Determination of Antecedent Structure for Fuzzy Modeling Using Genetic Algorithm. 235-238 - Akihiko Uchibori, Hiroshi Yamazaki, Yasunari Shidama, Hiroo Yamaura:
An Optimizing Fuzzy Logic with Genetic Algorithms. International Conference on Evolutionary Computation 1996: 239-242 - Masatoshi Sakawa, Kosuke Kato, Toshihiro Shibano:
An Interactive Fuzzy Satisficing Method for Multiobjective Multidimensional 0-1 Knapsack Problems Through Genetic Algorithms. 243-246 - Toshio Fukuda, Yasuhisa Hasegawa, Koji Shimojima, Fuminori Saito:
Self Scaling Reinforcement Learning for Fuzzy Logic Controller. 247-252 - Florin Fagarasan:
A Genetic-Based Method Applied in Fuzzy Modelling. 253-257
Constrained Optimization, Constraint Satisfaction and EC
- A. E. Eiben, Zsófia Ruttkay:
Self-Adaptivity for Constraint Satisfaction: Learning Penalty Functions. 258-261 - Hyun Myung, Jong-Hwan Kim:
Constrained Optimization Using Two-Phase Evolutionary Programming. 262-267 - Rainer Storn:
Differential Evolution Design of an IIR-Filter. 268-273 - Tu Van Le:
A Fuzzy Evolutionary Approach To Constrained Optimisation Problems. 274-278 - María Cristina Riff Rojas:
Using the Knowledge of the Constraints Network to Design an Evolutionary Algorithm that Solves CSP. 279-284 - Stephen Smith, Russel J. Stonier:
Applying Evolution Program Techniques to Constrained Continuous Optimal Control Problems. 285-290
Biologically Inspired Evolutionary Systems (2)
- Takaya Arita, Akinori Ojika:
Generation of Color Patterns Based on the Interactions Between Predators and Prey. 291-294 - Björn Olsson:
Optimization Using a Host-Parasite Model with Variable-Size Distributed Populations. 295-299 - Tokufumi Yamamoto:
Self-Organization Between Local and Non-Local Interaction in 2-D Cellular Automata. 300-305 - Moshe Sipper, Eytan Ruppin:
Co-Evolving Cellular Architectures by Cellular Programming. 306-311
Self-adaptation in Evolutionary Algorithms
- Nikolaus Hansen, Andreas Ostermeier:
Adapting Arbitrary Normal Mutation Distributions in Evolution Strategies: The Covariance Matrix Adaptation. 312-317 - Jim Smith, Terence C. Fogarty:
Self Adaptation of Mutation Rates in a Steady State Genetic Algorithm. 318-323 - Joanna Lis:
Parallel Genetic Algorithm with the Dynamic Control Parameter. 324-329 - Dirk Schlierkamp-Voosen, Heinz Mühlenbein:
Adaptation of Population Sizes by Competing Subpopulations. 330-335 - Alexandru Agapie, Adrian-Horia Dediu:
GA for Deceptive Problems: Inverting Schemata by a Statistical Approach. 336-340
Non-Darwinian Evolutionary Algorithms
- Qiangfu Zhao:
Structural Learning of MTM-MLP Based on Individual Evolutionary Algorithm. 341-345 - Akira Namatame:
Social Learning in a Society of Decentralized Agents. 346-349 - Shaoyan Wu, Qingfu Zhang, Huowang Chen:
A New Evolutionary Model Based on Family Eugenics: the First Results. 350-355 - Sadayoshi Mikami, Mitsuo Wada, Yukinori Kakazu:
Combining Reinforcement Learning with GA to Find Co-Ordinated Control Rules for Multi-Agent System. 356-361 - Hugo de Garis:
Cam-Brain: ATR's Billion Neuron Artificial Brain Project - A Three Year Progress Report. 886-891
Evolutionary Robotics and Automation
- Henrik Hautop Lund, Orazio Miglino:
From Simulated to Real Robots. 362-365 - Jing Xiao, Zbigniew Michalewicz, Lixin Zhang:
Evolutionary Planner/Navigator: Operator Performance and Self-Tuning. 366-371 - Jeong-Yul Jeon, Seon-Woo Lee, Hong-Kook Chae, Jong-Hwan Kim:
Low Velocity Friction Identification and Compensation Using Accelerated Evolutionary Programming. 372-377 - Cem Hocaoglu, Arthur C. Sanderson:
Planning Multi-Paths Using Speciation in Genetic Algorithms. 378-383 - Wei-Po Lee, John Hallam, Henrik Hautop Lund:
A Hybrid GP/GA Approach for Co-Evolving Controllers and Robot Bodies to Achieve Fitness-Specified Tasks. 384-389 - Luis Rodrigues, Miguel Prado, Paulo Tavares, Kelo da Silva, Agostinho C. Rosa:
Simulation and Control of Biped Locomotion-GA Optimization. 390-395
GA Applications (2)
- Laurence D. Merkle
, Gary B. Lamont, George H. Gates Jr., Ruth Pachter:
Hybrid Genetic Algorithms for Minimization of a Polypeptide Specific Energy Model. 396-400 - Milad F. Sebaaly, Hideo Fujimoto:
A Genetic Planner for Assembly Automation. 401-406 - C. Y. Ching, Sin Chun Ng, Shu Hung Leung:
Fast Implementation of Evolutionary Variable Step Size Algorithm. 407-410 - Ender Ozcan, Chilukuri K. Mohan:
Shape Recognition Using Genetic Algorithm. 411-416 - Isao Tazawa, Seiichi Koakutsu, Hironori Hirata:
An Immunity Based Genetic Algorithm and Its Application to the VLSI Floorplan Design Problem. 417-421 - Hong Wang, Zhiqiang Ma, Kenji Nakayama:
Effectiveness of Penalty Function in Solving the Subset Sum Problem. 422-425 - Tomoharu Nagao:
Homogeneous Coding for Genetic Algorithm Based Parameter Optimization. 426-430
GA Applications
- Arvin Agah, George A. Bekey:
A Genetic Algorithm-Based Controller for Decentralized Multi-Agent Robotic Systems. 431-436 - Yukiko Yoshida, Nobue Adachi, Koji Tajima:
Gaview - A Visualization Tool for Supporting GA Simulations and Analyses. 437-442 - Isamu Kajitani, Tsutomu Hoshino, Masaya Iwata
Variable Length Chromosome GA for Evolvable Hardware. 443-447 - Toshiharu Hatanaka, Katsuji Uosaki, Takayuki Ueta:
Optimal Smoothing of Binary Markov Sequences by Genetic Algorithms and Its Application to Image Restoration. 448-451 - Yen-Wei Chen, Zensho Nakao, Kouichi Arakaki, Shinichi Tamura:
Evolutionary Reconstruction of Neutron Penumbral Images. 452-457 - Zensho Nakao, Yen-Wei Chen, Midori Takashibu, Yasuyuki Kina, Makoto Nakasone:
Evolutionary Reconstruction of Gray Images. 458-462 - Yen-Wei Chen, Zensho Nakao, Xue Fang:
Parallelization of a Genetic Algorithm for Image Restoration and Its Performance Analysis. 463-468 - Shu-Chien Huang, Yung-Nien Sun:
Polygonal Approximation Using Genetic Algorithm. 469-474 - Dae-Hyun Lee, Hoon Choi, Lae-Jeong Park, Cheol Hoon Park, Seung Ho Hwang:
A Stochastic Evolution Algorithm for the Graph Covering Problem and Its Application to the Technology Mapping. 475-479 - Shu-Heng Chen, Chih-Chi Ni:
Genetic Algorithm Learning and the Chain-Store Game. 480-484 - Norhashimah Morad, Ali M. S. Zalzala:
A Genetic-Based Approach to the Formation of Manufacturing Cells and Batch Scheduling. 485-499 - S. M. Tam, K. C. Cheung:
Design Optimization of An Inertial Sensor by Genetic Algorithms. 500-505 - Jiunn-Chin Wang, Jorng-Tzong Horng, Kuo-Chin Fan, Baw-Jhiune Liu:
A Genetic Algorithm for Structural Query Processing in Hypertext Systems. 506-511 - Nikolay V. Dakev, Andrew J. Chipperfield, Peter J. Fleming:
An Evolutionary Approach for Path Following Optimal Control of Multibody Systems. 512-516
Evolutionary Computation: Toward a Breakthrough in Hard Optimization Problems with an Emgergent Approach
- Hisashi Tamaki, Hajime Kita, Shigenobu Kobayashi:
Multi-Objective Optimization by Genetic Algorithms: A Review. 517-522 - Nobuo Sannomiya, Hitoshi Iima:
Application of Genetic Algorithm to Scheduling Problems in Manufacturing Processes. 523-528 - Keiji Maekawa, Naoki Mori, Hisashi Tamaki, Hajime Kita, Yoshikazu Nishikawa:
A Genetic Solution for the Traveling Salesman Problem by Means of a Thermodynamical Selection Route. 529-534 - Masayuki Yamamura, Isao Ono, Shigenobu Kobayashi:
Emergent Search on Double Circle TSPs Using Subgour Exchange Crossover. 535-540 - Mutsunori Yagiura, Toshihide Ibaraki:
Metaheuristics as Robust and Simple Optimization Tools. 541-546 - Isao Ono, Masayuki Yamamura, Shigenobu Kobayashi:
A Genetic Algorithm for Job-Shop Scheduling Problems Using Job-Based Order Crossover. 547-552 - Fei Qian, Hironori Hirata:
A Parallel Learning Cellular Automata for Combinatorial Optimization Problems. 553-558 - Hidenori Sakanashi
An Approach for Genetic Synthesizer of Binary Decision Diagram. 559-564 - Naohiro Hondo, Hitoshi Iba, Yukinori Kakazu:
Sharing and Refinement for Reusable Subroutines of Genetic Programming. 565-570
Combination with Fuzzy & Neural Networks, GA-Theory
- Dirk Thierens:
Non-Redundant Genetic Coding of Neural Networks. 571-575 - Laurent Dubois, Toshio Fukuda:
On a Multi-Strategy Approach in Evolutionary Computation. 576-580 - Tomohiro Yoshikawa, Takeshi Furuhashi, Yoshiki Uchikawa:
Emergence of Effective Fuzzy Rules for Controlling Mobile Robots Using DNA Coding Method. 581-586 - Zensho Nakao, Yen-Wei Chen, Fath El Alem F. Ali:
GA-Based Reconstruction of Plane Binary Images. 587-591 - Tu Van Le:
Application of Evolutionary Computation to Fuzzy Algebra. 592-595 - Yinzhen Li, Mitsuo Gen, Kenichi Ida:
Evolutionary Computation for Multicriteria Solid Transportation Problem with Fuzzy Numbers. 596-601 - Masahiro Tanaka, Yasuyuki Furukawa, Tetsuzo Tanino:
Weight Tuning and Pattern Classification by Self Organizing Map Using Genetic Algorithm. 602-605 - Anil Menon, Kishan Mehrotra, Chilukuri K. Mohan, Sanjay Ranka:
Selection, Majorization and Replicators. 606-610
Be Darwinian: Make Your Evolutionary-Based Optimization Algorithm Compete With All Others
- Hugues Bersini, Marco Dorigo, Stefan Langerman, Gregory Seront, Luca Maria Gambardella:
Results of the First International Contest on Evolutionary Optimisation (1st ICEO). 611-615 - Bernd Freisleben, Peter Merz:
A Genetic Local Search Algorithm for Solving Symmetric and Asymmetric Traveling Salesman Problems. 616-621 - Luca Maria Gambardella, Marco Dorigo:
Solving Symmetric and Asymmetric TSPs by Ant Colonies. 622-627 - Dong-Guang Li, Clifton Smith:
A New Global Optimization Algorithm Based on Latin Square Theory. 628-630 - Hillol Kargupta:
The Performance of the Gene Expression Messy Genetic Algorithm On Real Test Functions. 631-636 - Cees H. M. van Kemenade:
Cluster Evolution Strategies - Enhancing the Sampling Density Function Using Representatives. 637-642 - Charles Fleurent, Fred W. Glover, Philippe Michelon, Zulficar Valli:
A Scatter Search Approach for Unconstrained Continuous Optimization. 643-648
Evolutionary Artificial Neural Networks
- Andon V. Topalov, Kwang-Choon Kim, Jong-Hwan Kim, Bong-Kuk Lee:
Fast Genetic On-Line Learning Algorithm for Neural Network and Its Application to Temperature Control. 649-654 - Devil H. F. Yip, William W. H. Yu:
Classification of Coffee Using Artificial Neural Network. 655-658 - Xin Yao, Yong Liu:
Ensemble Structure of Evolutionary Artificial Neural Networks. 659-664 - Chi-Ho Lee, Jong-Hwan Kim:
Evolutionary Ordered Neural Network with a Linked-List Encoding Scheme. 665-669 - Yong Liu, Xin Yao:
Evolutionary Design of Artificial Neural Networks with Different Nodes. 670-675 - Akira Imada, Keijiro Araki:
Lamarckian Evolution of Associative Memory. 676-680 - Sung-Bae Cho, Katsunori Shimohara:
Modular Neural Networks Evolved by Genetic Programming. 681-684 - Sungzoon Cho, Keonhoe Cha:
Evolution of Neural Network Training Set Through Addition of Virtual Samples. 685-688
Combination with Fuzzy & Neural Networks
- Yoshiaki Tsukamoto, Akira Namatame:
Evolving Neural Network Models. 689-693 - Koichiro Yamauchi, Mikiya Oota, Naohiro Ishii:
A Self-Supervised Learning System for Category Detection by Integrating Information from Several Sensors. 694-699 - Sigeru Omatu, Safaai Deris:
Stabilization of Inverted Pendulum by the Genetic Algorithm. 700-705 - Kosuke Kato, Masatoshi Sakawa:
Genetic Algorithms with Decomposition Procedures for Fuzzy Multiobjective 0-1 Programming Problems with Block Angular Structure. 706-709 - Xinmin Huang, Yasumitsu Miyazaki:
The Dynamic Threshold of Semi-Orthogonal Associative Memory Model. 710-715 - Linhu Zhao, Yasuhiro Tsujimura, Mitsuo Gen:
Genetic Algorithm for Fuzzy Clustering. 716-719 - Yo-Ping Huang, Sheng-Fang Wang:
Identifying the Fuzzy Grey Prediction Model by Genetic Algorithms. 720-725 - Sin Chun Ng, Shu Hung Leung, Andrew Luk:
Evolution of Connection Weights Combined with Local Search for Multi-Layered Neural Network. 726-731
Evolutionary Programming
- Jinn-Moon Yang, Cheng-Yan Kao:
A Combined Evolutionary Algorithm for Real Parameters Optimization. 732-737 - Sinn Kim, Jong-Hwan Kim:
Optimal Trajectory Planning of a Redundant Manipulator Using Evolutionary Programming. 738-743
Biologically Inspired Evolutionary Systems
- Joachim Baczewski, Jun Tani:
Evolutionary Agent Planning. 744-747 - Mieko Tanaka-Yamawaki, Sachiko Kitamikado:
Classification of the Totalistic and the Semitotalistic Rules of Cellular Automata. 748-753 - Blanca Cases, Arantza Etxebarria, Pablo González-Nalda
Modelling Evolution on Hypergraphs: A Structural Approach to Study Diversity. 754-758 - Jin-Hyun Park, Young-Kiu Choi:
An On-Line PID Control Scheme for Unknown Nonlinear Dynamic Systems Using Evolution Strategy. 759-763 - Hyun-Sik Kim, Jin-Hyun Park, Young-Kiu Choi:
Variable Structure Control of Brushless DC Motor Using Evolution Strategy with Varying Search Space. 764-779 - Kiyomi Nakamura, Akira Takarajima:
Recognition of Pattern Position and Shape by Population Vector in Spatial Spreading Associative Neural Network. 780-785
GA Theory
- Brad L. Miller, Michael J. Shaw:
Genetic Algorithms with Dynamic Niche Sharing for Multimodal Function Optimization. 786-791 - Hillol Kargupta, David E. Goldberg:
Polynominal Complexity Blackbox Search: Lessons From the SEARCH Framework. 792-797 - Alain Pétrowski:
A Clearing Procedure as a Niching Method for Genetic Algorithms. 798-803 - Mitsuo Gen, Runwei Cheng:
A Survey of Penalty Techniques in Genetic Algorithms. 804-809 - Emma Collingwood, David Corne, Peter Ross:
Useful Diversity via Multiploidy. 810-813 - Hillol Kargupta:
The Gene Expression Messy Genetic Algorithm. 814-819 - Hans-Michael Voigt, Heinz Mühlenbein, Dirk Schlierkamp-Voosen:
The Response to Selection Equation for Skew Fitness Distributions. 820-825 - Jim Smith, Terence C. Fogarty:
Recombination Strategy Adaptation via Evolution of Gene Linkage. 826-831
Be Darwinian: Make Your Evolutionary-Based Optimization Algorithm Compete With All Others
- George Bilchev, Ian C. Parmee:
Inductive Search. 832-836 - Jason Kingdon, Laura Dekker:
Morphic Search Strategies. 837-841 - Rainer Storn, Kenneth V. Price:
Minimizing the Real Functions of the ICEC'96 Contest by Differential Evolution. 842-844 - Gregory Seront, Hugues Bersini:
Simplex GA and Hybrid Methods. 845-848
Evolutionary Behavior of Biological, Physical and Chemical Process
- Yuishi Iwasaki, Fumiko Yonezawa:
Genetic Evolution Through Stochastic Mutation Dynamics. 849-854 - Tomohiro Yamaguchi, Motohmi Masubuchi, Yasuhiro Tanaka, Masahiko Yachida:
Propagating Learned Behaviors from a Virtual Agent to a Physical Robot in Reinforcement Learning. 855-860 - Takashi Nakao, Masateru Sakata, Masayuki Noguchi, Atsushi Suzuki, Yasuo Yonezawa:
Automatic Mesh Generation Based on Skilled Knowledge by Genetic Algorithm. 861-866 - Hideo Akabane, Masahiro Agu:
Evolutionary Process of 1/f Fluctuation Generated with High Order Correlation. 867-870 - Mitsuhiro Yamada, Masahiro Agu:
A Neural-line like Chain Model Generating 1/f Noise. 871-873 - Yoichi Kasahara, Yasuo Yonezawa:
The Properties of Complex Evolution in Chaos Generation Process. 874-879 - Yasuhiro Hayashi, Hyunchul Kim, Koichi Nara:
Scenario Creation Method by Genetic Algorithm for Evaluation Future Plan. 880-885
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