MCO: Multiple Criteria Optimization Algorithms and Test Functions

A collection of functions for solving multiple criteria optimization problems using the NSGA-II genetic algorithm. The dataset also includes a set of test functions for benchmarking. It was authored by Olaf Mersmann and is hosted on PapersWithCode.

Use Cases

• Benchmarking optimization algorithms based on the included test functions.
• Solving multi-criteria optimization problems based on the provided NSGA-II implementation.
• Comparing algorithm performance on standard test suites for multi-objective optimization.

Strengths

• Includes a specific, well-known algorithm (NSGA-II) for multi-objective optimization.
• Provides a collection of test functions for algorithm evaluation.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

PapersWithCode

Collection Method

Collection of algorithms and functions authored by Olaf Mersmann.

Time Range

unknown

Freshness

unknown

Geography

unknown