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optima-cityu

@optima-cityu source repo

12 published skills

  1. ▌
    Eoh · optima-cityu bundle
    Evolution of Heuristics (EOH) method skill. USE WHEN the user explicitly requests EoH / Evolution of Heuristics, or wants population-level heuristic evolution with explore-exploit-merge-modify operators.
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  2. ▌
    Dyca · optima-cityu bundle
    DyCA (Dynamic Clustering Algorithm) method skill. USE WHEN the user explicitly requests DyCA / dynamic clustering adaptive evolution, or wants instance-aware search that clusters problem instances and allocates specialized algorithm pools via dynamic reclustering and resource allocation.
    0
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  3. ▌
    Meoh · optima-cityu bundle
    Multi-objective Evolution of Heuristics (MEoH) method skill. USE WHEN the user explicitly requests MEoH / Multi-objective EoH, or wants Pareto-based population evolution with archive for multi-objective problems.
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  4. ▌
    Moead · optima-cityu bundle
    MOEA/D (Multi-objective Evolutionary Algorithm based on Decomposition) method skill. USE WHEN the user explicitly requests MOEA/D / Decomposition-based multi-objective evolution, or wants weight-vector decomposition with neighborhood collaboration.
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  5. ▌
    Nsga2 · optima-cityu bundle
    NSGA-II multi-objective evolutionary method skill. USE WHEN the user explicitly requests NSGA-II / Non-dominated Sorting Genetic Algorithm, or wants multi-objective optimization with non-dominated sorting and crowding distance selection.
    0
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  6. ▌
    Reevo · optima-cityu bundle
    Reflective Evolution (ReEvo) method skill. USE WHEN the user explicitly requests ReEvo / Reflective Evolution, or wants evolution with reflection mechanisms that summarize failure lessons and inject them into the next generation.
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  7. ▌
    Llm4ad Task Builder · optima-cityu bundle
    Use when a user wants to build an LLM4AD_Next task package — a runnable directory that lets the LLM4AD platform evolve an algorithm for their problem. Covers what files a task package contains, each file's contract, and how the package is run on the LLM4AD platform.
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  8. ▌
    Mcts Ahd · optima-cityu bundle
    Monte Carlo Tree Search for Automatic Heuristic Design (MCTS-AHD) method skill. USE WHEN the user explicitly requests MCTS / Monte Carlo Tree Search for heuristic design, or wants tree-structured search with UCT-based exploration-exploitation balance.
    0
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  9. ▌
    Funsearch · optima-cityu bundle
    FunSearch (Program Search) method skill. USE WHEN the user explicitly requests FunSearch / Program Search, or wants search with a programs database that stores and samples from high-scoring programs.
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  10. ▌
    Island Ga · optima-cityu bundle
    Island Genetic Algorithm (IslandGA) method skill. USE WHEN the user explicitly requests IslandGA / island genetic algorithm, or wants multiple sub-populations evolving in parallel with periodic inter-island migration to preserve diversity and enable parallel search.
    0
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  11. ▌
    Document Knowledge Organizer · optima-cityu bundle
    Organize one or more Markdown source documents into high-fidelity, editable knowledge blocks. Use when an agent must plan a semantic document reorganization, execute that plan without fixed-size chunking, or refine previously generated Markdown blocks while preserving facts, formulas, code, examples, constraints, exceptions, conflicts, and source boundaries.
    0
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  12. ▌
    Diverse Island Ga · optima-cityu bundle
    Diverse Island Genetic Algorithm skill. USE WHEN the user explicitly requests Diverse Island GA / diversity-oriented island GA, or wants specialized island roles with adaptive migration and novelty preservation instead of a uniform island GA.
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