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| <html lang="en"> | |
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| <meta charset="UTF-8"> | |
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| <script src="https://cdn.jsdelivr.net/npm/mermaid@10.6.1/dist/mermaid.min.js"></script> | |
| <title>Evolutionary Computing Systems: Adaptive Evolution & Selection Mechanisms</title> | |
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| font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; | |
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| </style> | |
| </head> | |
| <body> | |
| <div class="container"> | |
| <h1>🧬 Evolutionary Computing Systems: Adaptive Evolution & Selection Mechanisms</h1> | |
| <div class="stats"> | |
| <div class="stat-card"> | |
| <span class="stat-number">8</span> | |
| <span class="stat-label">Evolutionary Processes</span> | |
| </div> | |
| <div class="stat-card"> | |
| <span class="stat-number">4</span> | |
| <span class="stat-label">Categories</span> | |
| </div> | |
| <div class="stat-card"> | |
| <span class="stat-number">Complete</span> | |
| <span class="stat-label">Status</span> | |
| </div> | |
| <div class="stat-card"> | |
| <span class="stat-number">Universal</span> | |
| <span class="stat-label">System</span> | |
| </div> | |
| </div> | |
| <h2>🎯 Overview</h2> | |
| <p>This collection demonstrates how biological systems implement evolutionary computing through natural selection, mutation, and adaptation. These systems show how populations can solve complex problems through iterative optimization and selection mechanisms.</p> | |
| <div class="color-key"> | |
| <div class="color-item red">🔴 Triggers & Inputs</div> | |
| <div class="color-item yellow">🟡 Structures & Objects</div> | |
| <div class="color-item green">🟢 Processing & Operations</div> | |
| <div class="color-item blue">🔵 Intermediates & States</div> | |
| <div class="color-item violet">🟣 Products & Outputs</div> | |
| </div> | |
| <h2>🧬 Evolutionary Processes</h2> | |
| <div class="process-grid"> | |
| <div class="process-card"> | |
| <div class="process-title">1. Natural Selection Algorithm</div> | |
| <div class="process-description">Fitness-based selection system that preferentially reproduces individuals with higher fitness, demonstrating optimization through differential survival.</div> | |
| </div> | |
| <div class="process-card"> | |
| <div class="process-title">2. Mutation Generation System</div> | |
| <div class="process-description">Random genetic variation system using DNA replication errors, environmental damage, and mobile genetic elements to generate diversity.</div> | |
| </div> | |
| <div class="process-card"> | |
| <div class="process-title">3. Genetic Drift Mechanism</div> | |
| <div class="process-description">Stochastic allele frequency changes in small populations demonstrating random sampling effects on genetic diversity.</div> | |
| </div> | |
| <div class="process-card"> | |
| <div class="process-title">4. Adaptive Evolution Process</div> | |
| <div class="process-description">Environment-driven selection system that optimizes phenotypes for specific ecological niches through iterative improvement.</div> | |
| </div> | |
| <div class="process-card"> | |
| <div class="process-title">5. Co-evolutionary Arms Race</div> | |
| <div class="process-description">Reciprocal adaptation system between interacting species demonstrating competitive optimization and escalation.</div> | |
| </div> | |
| <div class="process-card"> | |
| <div class="process-title">6. Sexual Selection Algorithm</div> | |
| <div class="process-description">Mate choice-based selection system using phenotypic preferences to drive evolution of elaborate traits and behaviors.</div> | |
| </div> | |
| <div class="process-card"> | |
| <div class="process-title">7. Population Bottleneck Recovery</div> | |
| <div class="process-description">Genetic diversity restoration system following population crashes using mutation accumulation and selection.</div> | |
| </div> | |
| <div class="process-card"> | |
| <div class="process-title">8. Speciation Decision Tree</div> | |
| <div class="process-description">Reproductive isolation system using geographic, behavioral, and genetic barriers to create new species.</div> | |
| </div> | |
| </div> | |
| <h2>🔬 Featured Process: Natural Selection Algorithm</h2> | |
| <p>This flowchart demonstrates how natural selection implements an evolutionary computing algorithm. The system iteratively optimizes populations through differential survival and reproduction based on fitness.</p> | |
| <div class="mermaid"> | |
| graph TD | |
| A[Environmental Pressure] --> B[Population Generation] | |
| C[Genetic Variation] --> B | |
| D[Resource Availability] --> B | |
| B --> E[Individual Phenotypes] | |
| E --> F[Fitness Assessment] | |
| F --> G{Survival Threshold?} | |
| G -->|No| H[Individual Death] | |
| G -->|Yes| I[Reproductive Success] | |
| H --> J[Population Reduction] | |
| I --> K[Offspring Production] | |
| K --> L[Genetic Inheritance] | |
| L --> M[Mutation Events] | |
| M --> N[New Genetic Variants] | |
| N --> O[Next Generation] | |
| O --> P[Population Size Check] | |
| P -->|Stable| Q[Selection Pressure] | |
| P -->|Declining| R[Extinction Risk] | |
| P -->|Growing| S[Competition Increase] | |
| Q --> T[Fitness Landscape] | |
| R --> U[Adaptation Pressure] | |
| S --> V[Resource Limitation] | |
| T --> W[Optimal Phenotypes] | |
| U --> X[Survival Strategies] | |
| V --> Y[Selection Intensity] | |
| W --> Z[Population Optimization] | |
| X --> Z | |
| Y --> Z | |
| Z --> AA[Evolutionary Progress] | |
| AA --> BB[Environmental Change] | |
| BB --> A | |
| style A fill:#ff6b6b,stroke:#333,stroke-width:2px,color:#fff | |
| style C fill:#ff6b6b,stroke:#333,stroke-width:2px,color:#fff | |
| style D fill:#ff6b6b,stroke:#333,stroke-width:2px,color:#fff | |
| style B fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style E fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style F fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style G fill:#ffd43b,stroke:#333,stroke-width:2px,color:#000 | |
| style H fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
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| style J fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
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| style O fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style P fill:#ffd43b,stroke:#333,stroke-width:2px,color:#000 | |
| style Q fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style R fill:#ff6b6b,stroke:#333,stroke-width:2px,color:#fff | |
| style S fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style T fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style U fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style V fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style W fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style X fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style Y fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style Z fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style AA fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style BB fill:#ff6b6b,stroke:#333,stroke-width:2px,color:#fff | |
| </div> | |
| <h2>🧬 Complete Evolutionary Computing Flowcharts</h2> | |
| <h3>2. Mutation Generation</h3> | |
| <div class="mermaid"> | |
| graph TD | |
| A[DNA Replication] --> B[Replication Errors] | |
| B --> C[Point Mutations] | |
| B --> D[Insertions/Deletions] | |
| B --> E[Chromosomal Rearrangements] | |
| C --> F[Single Base Changes] | |
| D --> G[Frame Shifts] | |
| E --> H[Structural Variations] | |
| F --> I[Mutation Rate] | |
| G --> I | |
| H --> I | |
| I --> J{Beneficial Mutation?} | |
| J -->|Yes| K[Positive Selection] | |
| J -->|No| L[Neutral or Deleterious] | |
| K --> M[Fitness Increase] | |
| L --> N[Fitness Decrease or Neutral] | |
| M --> O[Population Spread] | |
| N --> P[Selection Against] | |
| style A fill:#ff6b6b,stroke:#333,stroke-width:2px,color:#fff | |
| style B fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style C fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style D fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style E fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style F fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style G fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style H fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style I fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style J fill:#ffd43b,stroke:#333,stroke-width:2px,color:#000 | |
| style K fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style L fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style M fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style N fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style O fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style P fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| </div> | |
| <h3>3. Genetic Drift</h3> | |
| <div class="mermaid"> | |
| graph TD | |
| A[Small Population] --> B[Random Sampling] | |
| B --> C[Allele Frequency Changes] | |
| C --> D[Genetic Variation Loss] | |
| D --> E[Population Bottleneck] | |
| E --> F{Population Size?} | |
| F -->|Very Small| G[Genetic Drift Dominant] | |
| F -->|Large| H[Selection Dominant] | |
| G --> I[Random Fixation] | |
| H --> J[Adaptive Evolution] | |
| I --> K[Loss of Diversity] | |
| J --> L[Maintained Diversity] | |
| K --> M[Inbreeding Effects] | |
| L --> N[Outbreeding Benefits] | |
| style A fill:#ff6b6b,stroke:#333,stroke-width:2px,color:#fff | |
| style B fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style C fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style D fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style E fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style F fill:#ffd43b,stroke:#333,stroke-width:2px,color:#000 | |
| style G fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style H fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style I fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style J fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style K fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style L fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style M fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style N fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| </div> | |
| <h3>4. Adaptive Evolution</h3> | |
| <div class="mermaid"> | |
| graph TD | |
| A[Environmental Change] --> B[Selection Pressure] | |
| B --> C[Phenotypic Variation] | |
| C --> D[Fitness Assessment] | |
| D --> E{Adaptive Advantage?} | |
| E -->|Yes| F[Positive Selection] | |
| E -->|No| G[Negative Selection] | |
| F --> H[Allele Frequency Increase] | |
| G --> I[Allele Frequency Decrease] | |
| H --> J[Population Adaptation] | |
| I --> K[Population Decline] | |
| J --> L[Environmental Fitness] | |
| K --> M[Extinction Risk] | |
| L --> N[Evolutionary Success] | |
| M --> O[Evolutionary Failure] | |
| style A fill:#ff6b6b,stroke:#333,stroke-width:2px,color:#fff | |
| style B fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style C fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style D fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style E fill:#ffd43b,stroke:#333,stroke-width:2px,color:#000 | |
| style F fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style G fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style H fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style I fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style J fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style K fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style L fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style M fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style N fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style O fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| </div> | |
| <h3>5. Co-evolutionary Arms Race</h3> | |
| <div class="mermaid"> | |
| graph TD | |
| A[Host-Pathogen Interaction] --> B[Host Defense Evolution] | |
| A --> C[Pathogen Counter-Evolution] | |
| B --> D[Immune System Enhancement] | |
| C --> E[Evasion Mechanisms] | |
| D --> F[Pathogen Recognition] | |
| E --> G[Recognition Avoidance] | |
| F --> H[Host Advantage] | |
| G --> I[Pathogen Advantage] | |
| H --> J[Selection on Pathogen] | |
| I --> K[Selection on Host] | |
| J --> L[Pathogen Adaptation] | |
| K --> M[Host Adaptation] | |
| L --> N[New Arms Race Cycle] | |
| M --> N | |
| style A fill:#ff6b6b,stroke:#333,stroke-width:2px,color:#fff | |
| style B fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style C fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style D fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style E fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style F fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style G fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style H fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style I fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style J fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style K fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style L fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style M fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style N fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| </div> | |
| <h3>6. Sexual Selection</h3> | |
| <div class="mermaid"> | |
| graph TD | |
| A[Mating Competition] --> B[Sexual Traits] | |
| B --> C[Mate Choice] | |
| C --> D{Preferred Trait?} | |
| D -->|Yes| E[Reproductive Success] | |
| D -->|No| F[Reproductive Failure] | |
| E --> G[Trait Inheritance] | |
| F --> H[Trait Loss] | |
| G --> I[Next Generation] | |
| H --> J[Reduced Representation] | |
| I --> K[Trait Amplification] | |
| J --> L[Trait Diminution] | |
| K --> M[Sexual Selection Pressure] | |
| L --> M | |
| style A fill:#ff6b6b,stroke:#333,stroke-width:2px,color:#fff | |
| style B fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style C fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style D fill:#ffd43b,stroke:#333,stroke-width:2px,color:#000 | |
| style E fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style F fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style G fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style H fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style I fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style J fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style K fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style L fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style M fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| </div> | |
| <h3>7. Population Bottleneck Recovery</h3> | |
| <div class="mermaid"> | |
| graph TD | |
| A[Population Bottleneck] --> B[Genetic Diversity Loss] | |
| B --> C[Inbreeding Depression] | |
| C --> D[Fitness Decline] | |
| D --> E{Recovery Possible?} | |
| E -->|Yes| F[Genetic Rescue] | |
| E -->|No| G[Extinction Risk] | |
| F --> H[New Genetic Variation] | |
| G --> I[Population Decline] | |
| H --> J[Fitness Recovery] | |
| I --> K[Population Collapse] | |
| J --> L[Population Growth] | |
| K --> M[Extinction] | |
| L --> N[Genetic Diversity Restoration] | |
| style A fill:#ff6b6b,stroke:#333,stroke-width:2px,color:#fff | |
| style B fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style C fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style D fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style E fill:#ffd43b,stroke:#333,stroke-width:2px,color:#000 | |
| style F fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style G fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style H fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style I fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style J fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style K fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style L fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style M fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style N fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| </div> | |
| <h3>8. Speciation Decision Tree</h3> | |
| <div class="mermaid"> | |
| graph TD | |
| A[Population Isolation] --> B{Isolation Type?} | |
| B -->|Geographic| C[Allopatric Speciation] | |
| B -->|Ecological| D[Sympatric Speciation] | |
| B -->|Temporal| E[Parapatric Speciation] | |
| C --> F[Geographic Barriers] | |
| D --> G[Ecological Niches] | |
| E --> H[Environmental Gradients] | |
| F --> I[Genetic Divergence] | |
| G --> J[Adaptive Divergence] | |
| H --> K[Gradual Divergence] | |
| I --> L{Reproductive Isolation?} | |
| J --> L | |
| K --> L | |
| L -->|Yes| M[New Species Formation] | |
| L -->|No| N[Continued Divergence] | |
| M --> O[Speciation Complete] | |
| N --> L | |
| style A fill:#ff6b6b,stroke:#333,stroke-width:2px,color:#fff | |
| style B fill:#ffd43b,stroke:#333,stroke-width:2px,color:#000 | |
| style C fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style D fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style E fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style F fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style G fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style H fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style I fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style J fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style K fill:#51cf66,stroke:#333,stroke-width:2px,color:#fff | |
| style L fill:#ffd43b,stroke:#333,stroke-width:2px,color:#000 | |
| style M fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| style N fill:#74c0fc,stroke:#333,stroke-width:2px,color:#fff | |
| style O fill:#b197fc,stroke:#333,stroke-width:2px,color:#fff | |
| </div> | |
| <div class="color-key"> | |
| <div class="color-item red">🔴 Triggers & Inputs</div> | |
| <div class="color-item yellow">🟡 Structures & Objects</div> | |
| <div class="color-item green">🟢 Processing & Operations</div> | |
| <div class="color-item blue">🔵 Intermediates & States</div> | |
| <div class="color-item violet">🟣 Products & Outputs</div> | |
| </div> | |
| <h2>🧪 Computational Analysis</h2> | |
| <p>This evolutionary computing system demonstrates several key computational principles:</p> | |
| <ul> | |
| <li><strong>Iterative Optimization:</strong> The system repeatedly improves solutions through selection and variation</li> | |
| <li><strong>Fitness-based Selection:</strong> Better solutions are preferentially retained and reproduced</li> | |
| <li><strong>Random Variation:</strong> Mutations provide exploration of the solution space</li> | |
| <li><strong>Population Dynamics:</strong> Multiple solutions compete and cooperate simultaneously</li> | |
| <li><strong>Environmental Adaptation:</strong> The system responds to changing problem constraints</li> | |
| </ul> | |
| <h2>🔬 Experimental Implications</h2> | |
| <p>This evolutionary system provides insights for computational applications:</p> | |
| <ul> | |
| <li><strong>Genetic Algorithms:</strong> Demonstrates principles for optimization algorithms</li> | |
| <li><strong>Machine Learning:</strong> Shows how systems can learn through selection</li> | |
| <li><strong>Robotics:</strong> Provides templates for adaptive control systems</li> | |
| <li><strong>Drug Discovery:</strong> Shows how evolution can find novel solutions</li> | |
| </ul> | |
| <h2>🧬 Evolutionary Algorithm Components</h2> | |
| <table style="width:100%; border-collapse: collapse; margin: 20px 0;"> | |
| <tr style="background: #f8f9fa;"> | |
| <th style="border: 1px solid #ddd; padding: 10px;">Component</th> | |
| <th style="border: 1px solid #ddd; padding: 10px;">Biological Implementation</th> | |
| <th style="border: 1px solid #ddd; padding: 10px;">Computational Function</th> | |
| </tr> | |
| <tr> | |
| <td style="border: 1px solid #ddd; padding: 10px;">Selection</td> | |
| <td style="border: 1px solid #ddd; padding: 10px;">Differential survival & reproduction</td> | |
| <td style="border: 1px solid #ddd; padding: 10px;">Choose best solutions</td> | |
| </tr> | |
| <tr> | |
| <td style="border: 1px solid #ddd; padding: 10px;">Variation</td> | |
| <td style="border: 1px solid #ddd; padding: 10px;">Mutation & recombination</td> | |
| <td style="border: 1px solid #ddd; padding: 10px;">Generate new solutions</td> | |
| </tr> | |
| <tr> | |
| <td style="border: 1px solid #ddd; padding: 10px;">Population</td> | |
| <td style="border: 1px solid #ddd; padding: 10px;">Multiple individuals</td> | |
| <td style="border: 1px solid #ddd; padding: 10px;">Maintain diversity</td> | |
| </tr> | |
| <tr> | |
| <td style="border: 1px solid #ddd; padding: 10px;">Fitness</td> | |
| <td style="border: 1px solid #ddd; padding: 10px;">Survival & reproduction success</td> | |
| <td style="border: 1px solid #ddd; padding: 10px;">Evaluate solution quality</td> | |
| </tr> | |
| </table> | |
| <p><em>Generated using the Programming Framework methodology</em></p> | |
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