Metaheuristics v3.2.0

What's New

• Update Julia version (from 1.1 to 1.5).
• Most metaheuristics can evaluate solutions in parallel.
• Minor performance updates.

Metaheuristics v3.1.2

Performance and Docs improvement.

Metaheuristics v3.1.1

SPEA2 was included, as well as other performance improvements.

Metaheuristics v3.1.0

Improvements in Abstracts, documentation. Also, this release includes new methods for multi-objective optimization, particularly for the non-dominated sorting (see API references in documentation).

Metaheuristics v3.0.3

This release includes a new metaheuristic and a new performance indicator.

New

Metaheuristics:

• SMS-EMOA: An EMO algorithm using the hypervolume measure as selection criterion

Performance Indicator:

• Delta p: Averaged Hausdorff distance

Updated

Minor performance improvements and other changes related to the API.

Metaheuristics v3.0.2

Hypervolume implementation in Julia.

New

Performance Indicators:

• Hypervolume Indicator (also known as Lebesgue measure or S-metric).

Updated

• Documentation on usage of some indicators.

More documentation and some improvements

This new release gives:

• Documentation: more examples, list with some related packages and bibliography.
• Minor improvements.

Improve API and new Metaheuristics

Improve API to create Metaheuristics.

This latest release implements the following methods:

New

Metaheuristics:

• NSGA-III

Performance Indicators:

• Covering Set Indicator (binary indicator based on dominance).
• Spacing indicators (for uniformly distributed vectors).

Updated

• SBX crossover: Some issues where solved.
• MOEAD_DE: this method receives the reference weights as parameters instead of the number of objectives.

v2.2.2

v2.2.2

Stable Version

v2.2.1

v2.2.1