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Genetic and Evolutionary Computation — GECCO 2003 : Genetic and Evolutionary Computation Conference Chicago, IL, USA, July 12–16, 2003 Proceedings, Part I

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Cover of 'Genetic and Evolutionary Computation — GECCO 2003 : Genetic and Evolutionary Computation Conference Chicago, IL, USA, July 12–16, 2003 Proceedings, Part I'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Swarms in Dynamic Environments
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    Chapter 2 The Effect of Natural Selection on Phylogeny Reconstruction Algorithms
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    Chapter 3 AntClust: Ant Clustering and Web Usage Mining
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    Chapter 4 A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization
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    Chapter 5 The Influence of Run-Time Limits on Choosing Ant System Parameters
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    Chapter 6 Emergence of Collective Behavior in Evolving Populations of Flying Agents
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    Chapter 7 On Role of Implicit Interaction and Explicit Communications in Emergence of Social Behavior in Continuous Predators-Prey Pursuit Problem
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    Chapter 8 Demonstrating the Evolution of Complex Genetic Representations: An Evolution of Artificial Plants
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    Chapter 9 Sexual Selection of Co-operation
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    Chapter 10 Optimization Using Particle Swarms with Near Neighbor Interactions
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    Chapter 11 Revisiting Elitism in Ant Colony Optimization
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    Chapter 12 A New Approach to Improve Particle Swarm Optimization
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    Chapter 13 Clustering and Dynamic Data Visualization with Artificial Flying Insect
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    Chapter 14 Ant Colony Programming for Approximation Problems
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    Chapter 15 Long-Term Competition for Light in Plant Simulation
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    Chapter 16 Using Ants to Attack a Classical Cipher
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    Chapter 17 Comparison of Genetic Algorithm and Particle Swarm Optimizer When Evolving a Recurrent Neural Network
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    Chapter 18 Adaptation and Ruggedness in an Evolvability Landscape
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    Chapter 19 Study Diploid System by a Hamiltonian Cycle Problem Algorithm
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    Chapter 20 A Possible Mechanism of Repressing Cheating Mutants in Myxobacteria
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    Chapter 21 Tour Jeté, Pirouette: Dance Choreographing by Computers
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    Chapter 22 Multiobjective Optimization Using Ideas from the Clonal Selection Principle
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    Chapter 23 A Hybrid Immune Algorithm with Information Gain for the Graph Coloring Problem
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    Chapter 24 MILA — Multilevel Immune Learning Algorithm
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    Chapter 25 The Effect of Binary Matching Rules in Negative Selection
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    Chapter 26 Immune Inspired Somatic Contiguous Hypermutation for Function Optimisation
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    Chapter 27 Genetic and Evolutionary Computation — GECCO 2003
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    Chapter 28 Developing an Immunity to Spam
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    Chapter 29 A Novel Immune Anomaly Detection Technique Based on Negative Selection
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    Chapter 30 Visualization of Topic Distribution Based on Immune Network Model
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    Chapter 31 Spatial Formal Immune Network
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    Chapter 32 Focusing versus Intransitivity Geometrical Aspects of Co-evolution
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    Chapter 33 Representation Development from Pareto-Coevolution
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    Chapter 34 Learning the Ideal Evaluation Function
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    Chapter 35 A Game-Theoretic Memory Mechanism for Coevolution
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    Chapter 36 The Paradox of the Plankton: Oscillations and Chaos in Multispecies Evolution
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    Chapter 37 Exploring the Explorative Advantage of the Cooperative Coevolutionary (1+1) EA
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    Chapter 38 PalmPrints: A Novel Co-evolutionary Algorithm for Clustering Finger Images
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    Chapter 39 Coevolution and Linear Genetic Programming for Visual Learning
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    Chapter 40 Finite Population Models of Co-evolution and Their Application to Haploidy versus Diploidy
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    Chapter 41 Evolving Keepaway Soccer Players through Task Decomposition
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    Chapter 42 A New Method of Multilayer Perceptron Encoding
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    Chapter 43 An Incremental and Non-generational Coevolutionary Algorithm
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    Chapter 44 Coevolutionary Convergence to Global Optima
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    Chapter 45 Generalized Extremal Optimization for Solving Complex Optimal Design Problems
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    Chapter 46 Coevolving Communication and Cooperation for Lattice Formation Tasks
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    Chapter 47 Efficiency and Reliability of DNA-Based Memories
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    Chapter 48 Evolving Hogg’s Quantum Algorithm Using Linear-Tree GP
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    Chapter 49 Hybrid Networks of Evolutionary Processors
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    Chapter 50 DNA-Like Genomes for Evolution in silico
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    Chapter 51 String Binding-Blocking Automata
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    Chapter 52 On Setting the Parameters of QEA for Practical Applications: Some Guidelines Based on Empirical Evidence
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    Chapter 53 Evolutionary Two-Dimensional DNA Sequence Alignment
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    Chapter 54 Active Control of Thermoacoustic Instability in a Model Combustor with Neuromorphic Evolvable Hardware
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    Chapter 55 Hardware Evolution of Analog Speed Controllers for a DC Motor
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    Chapter 56 An Examination of Hypermutation and Random Immigrant Variants of mrCGA for Dynamic Environments
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    Chapter 57 Inherent Fault Tolerance in Evolved Sorting Networks
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    Chapter 58 Co-evolving Task-Dependent Visual Morphologies in Predator-Prey Experiments
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    Chapter 59 Integration of Genetic Programming and Reinforcement Learning for Real Robots
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    Chapter 60 Multi-objectivity as a Tool for Constructing Hierarchical Complexity
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    Chapter 61 Learning Biped Locomotion from First Principles on a Simulated Humanoid Robot Using Linear Genetic Programming
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    Chapter 62 An Evolutionary Approach to Automatic Construction of the Structure in Hierarchical Reinforcement Learning
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    Chapter 63 Fractional Order Dynamical Phenomena in a GA
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    Chapter 64 Dimension-Independent Convergence Rate for Non-isotropic (1, λ) — ES
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    Chapter 65 The Steady State Behavior of ( μ/μ I , λ)-ES on Ellipsoidal Fitness Models Disturbed by Noise
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    Chapter 66 Theoretical Analysis of Simple Evolution Strategies in Quickly Changing Environments
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    Chapter 67 Evolutionary Computing as a Tool for Grammar Development
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    Chapter 68 Solving Distributed Asymmetric Constraint Satisfaction Problems Using an Evolutionary Society of Hill-Climbers
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    Chapter 69 Use of Multiobjective Optimization Concepts to Handle Constraints in Single-Objective Optimization
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    Chapter 70 Evolution Strategies with Exclusion-Based Selection Operators and a Fourier Series Auxiliary Function
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    Chapter 71 Ruin and Recreate Principle Based Approach for the Quadratic Assignment Problem
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    Chapter 72 Model-Assisted Steady-State Evolution Strategies
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    Chapter 73 On the Optimization of Monotone Polynomials by the (1+1) EA and Randomized Local Search
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    Chapter 74 A Forest Representation for Evolutionary Algorithms Applied to Network Design
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    Chapter 75 Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis
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    Chapter 76 The Principle of Maximum Entropy-Based Two-Phase Optimization of Fuzzy Controller by Evolutionary Programming
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    Chapter 77 A Simple Evolution Strategy to Solve Constrained Optimization Problems
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    Chapter 78 Effective Search of the Energy Landscape for Protein Folding
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    Chapter 79 A Clustering Based Niching Method for Evolutionary Algorithms
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    Chapter 80 A Hybrid Genetic Algorithm for the Capacitated Vehicle Routing Problem
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    Chapter 81 An Evolutionary Approach to Capacitated Resource Distribution by a Multiple-Agent Team
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    Chapter 82 A Hybrid Genetic Algorithm Based on Complete Graph Representation for the Sequential Ordering Problem
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    Chapter 83 An Optimization Solution for Packet Scheduling: A Pipeline-Based Genetic Algorithm Accelerator
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    Chapter 84 Generation and Optimization of Train Timetables Using Coevolution
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    Chapter 85 Chromosome Reuse in Genetic Algorithms
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    Chapter 86 Real-Parameter Genetic Algorithms for Finding Multiple Optimal Solutions in Multi-modal Optimization
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    Chapter 87 An Adaptive Penalty Scheme for Steady-State Genetic Algorithms
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    Chapter 88 Asynchronous Genetic Algorithms for Heterogeneous Networks Using Coarse-Grained Dataflow
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    Chapter 89 A Generalized Feedforward Neural Network Architecture and Its Training Using Two Stochastic Search Methods
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    Chapter 90 Ant-Based Crossover for Permutation Problems
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    Chapter 91 Selection in the Presence of Noise
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    Chapter 92 Effective Use of Directional Information in Multi-objective Evolutionary Computation
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    Chapter 93 Pruning Neural Networks with Distribution Estimation Algorithms
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    Chapter 94 Are Multiple Runs of Genetic Algorithms Better than One?
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    Chapter 95 Constrained Multi-objective Optimization Using Steady State Genetic Algorithms
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    Chapter 96 An Analysis of a Reordering Operator with Tournament Selection on a GA-Hard Problem
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    Chapter 97 Tightness Time for the Linkage Learning Genetic Algorithm
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    Chapter 98 A Hybrid Genetic Algorithm for the Hexagonal Tortoise Problem
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    Chapter 99 Normalization in Genetic Algorithms
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    Chapter 100 Coarse-Graining in Genetic Algorithms: Some Issues and Examples
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    Chapter 101 Building a GA from Design Principles for Learning Bayesian Networks
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    Chapter 102 A Method for Handling Numerical Attributes in GA-Based Inductive Concept Learners
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    Chapter 103 Analysis of the (1+1) EA for a Dynamically Bitwise Changing OneMax
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    Chapter 104 Performance Evaluation and Population Reduction for a Self Adaptive Hybrid Genetic Algorithm (SAHGA)
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    Chapter 105 Schema Analysis of Average Fitness in Multiplicative Landscape
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    Chapter 106 On the Treewidth of NK Landscapes
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    Chapter 107 Selection Intensity in Asynchronous Cellular Evolutionary Algorithms
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    Chapter 108 A Case for Codons in Evolutionary Algorithms
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    Chapter 109 Natural Coding: A More Efficient Representation for Evolutionary Learning
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    Chapter 110 Hybridization of Estimation of Distribution Algorithms with a Repair Method for Solving Constraint Satisfaction Problems
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    Chapter 111 Efficient Linkage Discovery by Limited Probing
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    Chapter 112 Distributed Probabilistic Model-Building Genetic Algorithm
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    Chapter 113 HEMO: A Sustainable Multi-objective Evolutionary Optimization Framework
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    Chapter 114 Using an Immune System Model to Explore Mate Selection in Genetic Algorithms
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    Chapter 115 Designing a Hybrid Genetic Algorithm for the Linear Ordering Problem
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    Chapter 116 A Similarity-Based Mating Scheme for Evolutionary Multiobjective Optimization
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    Chapter 117 Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers
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    Chapter 118 Voronoi Diagrams Based Function Identification
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    Chapter 119 New Usage of SOM for Genetic Algorithms
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    Chapter 120 Problem-Independent Schema Synthesis for Genetic Algorithms
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    Chapter 121 Investigation of the Fitness Landscapes and Multi-parent Crossover for Graph Bipartitioning
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    Chapter 122 New Usage of Sammon’s Mapping for Genetic Visualization
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    Chapter 123 Exploring a Two-Population Genetic Algorithm
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    Chapter 124 Adaptive Elitist-Population Based Genetic Algorithm for Multimodal Function Optimization
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    Chapter 125 Wise Breeding GA via Machine Learning Techniques for Function Optimization
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    Chapter 126 Facts and Fallacies in Using Genetic Algorithms for Learning Clauses in First-Order Logic
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    Chapter 127 Comparing Evolutionary Computation Techniques via Their Representation
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    Chapter 128 Dispersion-Based Population Initialization
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    Chapter 129 A Parallel Genetic Algorithm Based on Linkage Identification
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    Chapter 130 Generalization of Dominance Relation-Based Replacement Rules for Memetic EMO Algorithms
Attention for Chapter 35: A Game-Theoretic Memory Mechanism for Coevolution
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