dblp: Evolutionary Programming 1998 (original) (raw)

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7. EP 1998: San Diego, CA, USA

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  • Special Invited Lecture
  • Issues and Innovations in Evolutionary Computation
  • Evolution-Based Approaches to Engineering Design
  • Evolutionary Computation Theory
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  • Special Invited Lecture
  • Applications III

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    V. William Porto, N. Saravanan, Donald E. Waagen, A. E. Eiben:
    Evolutionary Programming VII, 7th International Conference, EP98, San Diego, CA, USA, March 25-27, 1998, Proceedings. Lecture Notes in Computer Science 1447, Springer 1998, ISBN 3-540-64891-7

Special Invited Lecture

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    Donald W. Dearholt:
    The Cumulative Consensus of Cognitive Agents in Scenarios: A Framework for Evolutionary Processes in Semantic Memory. 3-12

Economics, Emergence and Complex Systems

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    Leigh Tesfatsion:
    Preferential Partner Selection in Evolutionary Labor Markets: A Study in Agent-Based Computational Economics. 15-24
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    Steve Bankes:
    Subspace Pursuit for Expolatory Modeling. 25-31
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    Bruno Beaufils, Jean-Paul Delahaye, Philippe Mathieu:
    Complete Classes of Strategies for the Classical Iterated Prisoner's Dilemma. 33-41
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    Larry Bull:
    Evolutionary Computing in Multi-agent Environments: Operators. 43-52
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    Björn Olsson:
    Evaluation of a Simple Host-Parasite Genetic Algorithm. 53-62
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    John F. Walker:
    Testing Three Paradigms for Evolving Groups of Cooperative, Simple Agents. 63-72

Issues and Innovations in Evolutionary Computation

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    Dan Ashlock, John E. Mayfield:
    Acquisition of General Adaptive Features by Evolution. 75-84
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    Hyun Myung, Jong-Hwan Kim:
    Hybrid Interior-Langrangian Penalty Based Evolutionary Optimization. 85-94
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    Joseph L. Breeden:
    GA-Optimal Fitness Functions. 95-102
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    Xin Yao, Yong Liu:
    Scaling Up Evolutionary Programming Algorithms. 103-112
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    Ralf Salomon:
    Short Notes on the Schema Theorem and the Building Block Hypothesis in Genetic Algorithms. 113-122

Applications I

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    Thomas Bäck, A. E. Eiben, Marco E. Vink:
    A Superior Evolutionary Algorithm for 3-SAT. 125-136
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    Paul M. Chau, Gerald Clark, Anthony V. Sebald:
    Evolvable Hardware Control for Dynamic Reconfigurable and Adaptive Computing. 137-146
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    Joel E. Hirsh, Darrell K. Young:
    Evolutionary Programming Strategies with Self-Adaptation Applied to the Design of Rotorcraft Using Parallel Processing. 147-156
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    Kumar Chellapilla, Sathyanarayan S. Rao, Ahmad Hoorfar:
    Optimization of Thinned Phased Arrays Using Evolutionary Programming. 157-166
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    Witold Kosinski, Martyna Weigl, Zbigniew Michalewicz:
    Evolutionary Domain Covering of an Inference System for Function Approximation. 167-178

Evolution-Based Approaches to Engineering Design

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    Nestor Rychtyckyj, Robert G. Reynolds:
    Learning to Re-engineer Semantic Networks Using Cultural Algorithms. 181-190
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    David A. Ostrowski, Robert G. Reynolds:
    Integration of Slicing Methods into a Cultural Algorithm in Order to Assist in Large-Scale Engineering Systems Design. 191-198
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    Sushil J. Louis, George Bebis, Satish Uthiram, Yaakov L. Varol:
    Genetic Search for Object Identification. 199-208
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    Shinin Zhu, Robert G. Reynolds:
    Fuzzy Cultural Algorithms with Evolutionary Programming. 209-218
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    Chan-Jin Chung, Robert G. Reynolds:
    Culturing Evolution Strategies to Support the Exploration of Novel Environments by an Intelligent Robotic Agent. 219-228
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    Nicholas Gessler:
    Skeuomorphs and Cultural Algorithms. 229-238

Examining Representations and Operators I

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    Marc Schoenauer, Zbigniew Michalewicz:
    Sphere Operators and Their Applicability for Constrained Parameter Optimization Problems. 241-250
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    Thomas Fernandez, Matthew P. Evett:
    Numeric Mutation as an Improvement to Symbolic Regression in Genetic Programming. 251-260
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    Joachim Sprave, Susanne Rolf:
    Variable-Dimensional Optimization with Evolutionary Algorithms Using Fixed-Length Representations. 261-269
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    Anthony V. Sebald, Kumar Chellapilla:
    On Making Problems Evolutionarily Friendly - Part 1: Evolving the Most Convenient Representations. 271-280
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    Anthony V. Sebald, Kumar Chellapilla:
    On Making Problems Evolutionarily Friendly - Part 2: Evolving the Most Convenient Coordinate Systems Within Which to Pose (and Solve) the Given Problem. 281-290
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    Ko-Hsin Liang, Xin Yao, Yong Liu, Charles S. Newton, David Hoffman:
    An Experimental Investigation of Self-Adaptation in Evolutionary Programming. 291-300

Evolutionary Computation Theory

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    William E. Hart:
    On the Application of Evolutionary Pattern Search Algorithms. 303-312
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    David B. Fogel, Adam Ghozeil:
    The Schema Theorem and the Misallocation of Trials in the Presence of Stochastic Effects. 313-321
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    Hans-Georg Beyer:
    On the "Explorative Power" of ES/EP-like Algorithms. 323-334
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    Ralf Salomon:
    Resampling and its Avoidance in Genetic Algorithms. 335-344
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    Günter Rudolph:
    Evolutionary Search for Minimal Elements in Partially Ordered Finite Sets. 345-353
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    William G. Macready:
    Tailoring Mutation to Landscape Properties. 355-364

Applications II

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    Frank W. Moore, Oscar N. Garcia:
    A Genetic Programming Methodology for Missile Countermeasures Optimization Under Uncertainty. 367-376
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    Isaac K. Evans:
    Evolutionary Algorithms for Vertex Cover. 377-386
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    Sharad Thacore:
    An Evolutionary Self-Learning Methodology: Some Preliminary Results from a Case Study. 387-396
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    Seelan Sundaralingam, Ken Sharman:
    Evolving IIR Filters in Multipath Environments. 397-406
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    Tadahiko Murata, Hisao Ishibuchi, Tomoharu Nakashima, Mitsuo Gen:
    Fuzzy Partition and Input Selection by Genetic Algorithms for Designing Fuzzy Rule-Based Classification Systems. 407-416
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    Kumar Chellapilla:
    Evolving Nonlinear Controllers for Backing up a Truck-and-Trailer Using Evolutionary Programming. 417-426

Evolutionary Computation and Biological Modeling

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    Gary B. Fogel, Kumar Chellapilla, David B. Fogel:
    Reconstruction of DNA Sequence Information from a Simulated DNA Chip Using Evolutionary Programming. 429-436
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    John R. Koza, Forrest H. Bennett III, David Andre:
    Using Programmatic Motifs and Genetic Programming to Classify Protein Sequences as to Cellular Location. 437-447
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    Daniel K. Gehlhaar, Djamal Bouzida, Paul A. Rejto:
    Fully Automated and Rapic Flexible Docking of Inhibitors Covalently Bound to Serine Proteases. 449-461
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    Jeffrey O. Pfaffmann, Michael Conrad:
    Microtubule Networks as a Medium for Adaptive Information Processing. 463-472
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    Jon J. Brewster, Michael Conrad:
    Evolve IV: A Metabolically-Based Artificial Ecosystem Model. 473-482
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    Klaus Jaffe:
    Sex, Mate Selection, and Evolution. 483-492
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    Garrison W. Greenwood, Yi-Ping Liu:
    Finding Low Energy Conformations of Atomic Clusters Using Evolution Strategies. 493-502
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    Russell W. Anderson, Jeremy B. Badler, Edward L. Keller:
    Estimating the Distribution of Neural Connections in the Saccadic System Using a Biologically Plausible Learning rule - Preliminary Results. 503-513

Issues and Innovations in Evolutionary Computation II

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    Gary B. Lamont, Scott M. Brown, George H. Gates Jr.:
    Evolutionary Algorithms Combined with Deterministic Search. 517-526
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    Ender Ozcan, Chilukuri K. Mohan:
    Steady State Memetic Algorithm for Partial Shape Matching. 527-536
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    Dan Ashlock, James I. Lathrop:
    A Fully Characterized Test Suite for Genetic Programming. 537-546
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    Ole J. Mengshoel, David C. Wilkins:
    Genetic Algorithms for Belief Network Inference: The Role of Scaling and Niching. 547-556
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    Michael A. Smith:
    Building Software Frameworks for Evolutionary Computation. 557-567
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    Ted Dunning:
    Recorded Step Directional Mutation for Faster Convergence. 569-578

Particle Swarm

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    James Kennedy:
    The Behavior of Particles. 581-589
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    Yuhui Shi, Russell C. Eberhart:
    Parameter Selection in Particle Swarm Optimization. 591-600
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    Peter J. Angeline:
    Evolutionary Optimization Versus Particle Swarm Optimization: Philosophy and Performance Differences. 601-610
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    Russell C. Eberhart, Yuhui Shi:
    Comparison between Genetic Algorithms and Particle Swarm Optimization. 611-616

Combinations of Evolutionary and Neural Computation

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    Devert Wicker, Mateen M. Rizki, Louis A. Tamburino:
    A Hybrid Evolutionary Learining System for Synthesizing Neural Network Pattern Recognition Systems. 619-628
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    Alexei N. Skourikhine:
    An Evolutionary Algorithm for Designing Feedforward Neural Networks. 629-635
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    João Carlos Figueira Pujol, Riccardo Poli:
    Dual Network Representation Applied to the Evolution of Neural Controllers. 637-646
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    Akira Imada, Keijiro Araki:
    What does the Landscape of a Hopfield Associative Memory Look Like? 647-656

Special Invited Lecture

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    Artur Chorazyczewski, Roman Galar:
    Visualization of Evolutionary Adaptation in Rn. 659-668

Examining Representations and Operators II

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    Arnold L. Patton, Terrence Dexter, Erik D. Goodman, William F. Punch III:
    On the Application of Cohort-Driven Operators to Continuous Optimization Problems Using Evolutionary Computation. 671-681
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    Thomas Haynes:
    Random Search versus Genetic Programming as Engines for Collective Adaptation. 683-692
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    Stephen A. Stanhope, Jason M. Daida:
    Optimal Mutation and Crossover Rates for a Genetic Algorithm Operating in a Dynamic Environment. 693-702
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    Filippo Menczer, Richard K. Belew:
    Local Selection. 703-712
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    John R. McDonnell:
    Asymmetric Mutations for Stochastic Search. 713-722

Applications III

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    Thomas W. Brotherton, G. Chadderdon:
    Automated Rule Extraction for Engine Health Monitoring. 725-734
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    Stephen A. Stanhope, Jason M. Daida:
    Genetic Programming for Automatic Target Classification and Recognition. 735-744
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    Ricardo Aler, Daniel Borrajo, Pedro Isasi:
    Evolving Heuristics for Planning. 745-754
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    Ko-Hsin Liang, Xin Yao, Charles S. Newton, David Hoffman:
    Solving Cutting Stock Problems by Evolutionary Programming. 755-764

Issues and Innovations in Evolutionary Computation III

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    Thomas E. Kammeyer, Richard K. Belew:
    An Empirical Investigation of an Evolutionary Algorithm's Ability to Maintain a Known Good Solution. 767-776
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    V. William Porto:
    Evolving Integrated Low-Level Behaviors into Intelligently Interactive Simulated Forces. 777-787
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    Clifton Davis, Christoph F. Eick:
    Using Offset Invariant Crossover as a Tool for Discovering Cycle Lengths of a Periodic Function. 789-798
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    Ibrahim Kuscu:
    Evolving a Generalized Behaviour: Artificial Ant Problem Revisited. 799-808
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    Manu Ahluwalia, Larry Bull:
    Co-evolving Functions in Genetic Programming: Dynamic ADF Creation Using GLiB. 809-818
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    Donald E. Waagen, John Pecina, Rodney Pickens:
    Evolving Spatially-Localized Projection Filters for SAR Automatic Target Recognition. 819-827
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    Shu-Heng Chen, Chia-Hsuan Yeh:
    Genetic Programming in the Overlapping Generations Model: An Illustration with the Dynamics of the Inflation Rate. 829-838

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