Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.
8.3
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0
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Machine Learning
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Exceptional skill for multi-objective optimization. The SKILL.md provides comprehensive, actionable guidance with 7 distinct workflows covering single-objective, multi-objective, many-objective, custom problems, constraints, decision-making, and visualization. Each workflow includes clear steps, code examples, and references to detailed documentation. The description perfectly captures capabilities for a CLI agent to invoke appropriately. Structure is excellent with concise overview in SKILL.md and details delegated to reference files and scripts. Task knowledge is outstanding with complete examples, algorithm selection guides, troubleshooting, and best practices. Novelty is strong: multi-objective optimization with Pareto fronts, NSGA-II/III algorithms, and constraint handling would require substantial tokens for a CLI agent to implement from scratch. Minor deduction on novelty as single-objective optimization is more standard. The skill meaningfully reduces cost for complex optimization problems that would otherwise require extensive algorithmic knowledge and implementation.
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