ciren/cilib

This system is a Scala-based library for evolutionary computation and optimization algorithms, providing implementations for Genetic Algorithms, Particle Swarm Optimization, Differential Evolution, and Evolutionary Distribution Algorithms. It features a modern ZIO-based execution engine that supports streaming data processing, multi-objective evaluation, and Parquet file output. The library manages core optimization primitives such as positions, fitness constraints, and boundary enforcement strategies to facilitate algorithmic search and benchmarking.

5 changes.

The project underwent a major modernization by migrating its codebase and build infrastructure to Scala 3 and ZIO 2, replacing legacy dependencies like Scalaz and JUnit 3.8. This effort involved refactoring core data types for performance, removing obsolete algorithms and test suites, and establishing a new multi-module build structure with updated documentation.

7 changes.

The project migrated its core library to the ZIO Prelude ecosystem, introducing foundational optimization primitives and a ZIO-based execution engine. This period also saw the extraction of dedicated modules for Genetic Algorithms and Particle Swarm Optimization, along with comprehensive test coverage and multi-objective evaluation support.

5 changes.

The project expanded its optimization capabilities by introducing Differential Evolution and Evolutionary Distribution Algorithm modules, while simultaneously migrating the execution layer to ZIO Prelude for improved type safety and effect handling. This period also saw the addition of Parquet file output support and the establishment of a new Docusaurus-based documentation website.

Users can now export measurement data to Parquet files using the new \WriteMode\ abstraction, which supports both creating new files and overwriting existing ones. The \io\ package introduces \parquetSink\ for streaming writes via ZIO and \writeParquet\ for batch operations, both leveraging the parquet4s library with Snappy compression and configurable page/row-group sizes.

io · high confidence

The library now provides foundational types for optimization, including \Position\ (with \Point\ and \Solution\ variants), \Interval\ (with \Bound\ types), \Entity\, \Fitness\ (with \Fit\ states for feasible/infeasible/adjusted results), \Constraint\ handling, and \Boundary\ enforcement strategies (clamp, reflect, wrap, etc.). Additionally, a new \exec\ module introduces a ZIO-based \Runner\ for streaming algorithm execution, supporting dynamic environment changes via \Env\ (Unchanged/Change) and iteration-based parameter updates, along with file output capabilities (Parquet/CSV) in example applications.

repository · high confidence

The Genetic Algorithm (GA) logic has been extracted into a dedicated module under \cilib/ga\. This new module provides \GA.ga\ for standard evolutionary steps (selection, crossover, mutation) and \GA.randomSearch\ for random search strategies, both built on the \zio\ and \zio-prelude\ effect types. It also defines a type alias \Individual\[S\]\ as \Entity\[S, Double\]\ to represent population members.

ga · high confidence

Introduces the core Evolutionary Distribution Algorithm (EDA) implementation in the \eda\ module, providing a stream-based runner that utilizes ZIO and ZIO Prelude for effect handling. The new \EDA\ object exposes an \eda\ function for generic algorithm execution and a \UDMAc\ helper for Univariate Marginal Distribution Algorithm calculations, establishing the foundational logic for this optimization technique.

eda · high confidence

Adds a new Differential Evolution (DE) implementation in the \de\ package, providing core functions for mutation, crossover, and selection strategies (such as best/1, rand/1, and current-to-best variants) to perform population-based optimization. The module leverages ZIO and zio-prelude for effect handling and type safety, exposing a unified API for users to configure and run DE-based searches.

de · high confidence

The PSO module now includes implementations for Von Neumann, PCX, UNDX, and NMPC crossover topologies, along with a charged PSO variant and a heterogeneous PSO framework. Users can now select these specific guide strategies for particle movement and social influence, expanding the available optimization behaviors beyond the standard gbest/lbest models.

pso · high confidence

The \moo\ module now includes a \MultiEval\ class that enables multi-objective fitness evaluation. It accepts a \NonEmptyVector\ of \Eval\ instances and combines their results into a single \RVar\[Objective\]\, allowing users to evaluate positions against multiple objectives simultaneously within the ZIO Prelude context.

moo · high confidence

The project now includes a dedicated website directory built with Docusaurus 2, providing a modern static site for documentation and project information. This change introduces the core website infrastructure, including configuration files (docusaurus.config.js, sidebars.js), custom CSS styling, and React-based landing page components. The site is configured to source documentation content from the mdoc generation target and includes assets like the project logo and static images, establishing the foundation for the new documentation experience.

website · high confidence

The example module now includes a suite of runnable demonstrations for various optimization algorithms, including Genetic Algorithms (GA, Random Search), Particle Swarm Optimization variants (GBest, LBest, GCPSO, Von Neumann, NMPC, PCX, UNDX), and a mixed DE/PSO example. These examples utilize the new ZIO-based execution runner and provide a shared helper object with standard benchmark functions (Ackley, Quadric, Spherical, Absolute Value) to facilitate testing and learning.

example · high confidence

The entire \net.sourceforge.cilib.ACO\ package has been removed from the source tree. This deletion eliminates the legacy Ant Colony Optimization implementation, including the core \ACO\ algorithm class, the \Ant\ interface, specific algorithm variants like \ASTSP\ and \LumerFaietaClusteringAlgorithm\, and all associated supporting classes such as \GraphOptimisationProblem\, \ClusteringAntDecorator\, and pheromone update logic. Users relying on this specific ACO-based optimization approach will no longer have access to these components.

src/CVS, src/net · high confidence

The project's build system has been updated to support Scala 3.3.7 alongside Scala 2.13.18, with the SBT version bumped to 1.12.9. Core dependencies have been upgraded to ZIO 2.1.25 and ZIO Prelude 1.0.0-RC47, replacing previous ZIO 1.x usage. The build configuration now includes specific compiler options for Scala 3 migration and type explanation, and utilizes sbt-ci-release for publishing.

project · high confidence

This release introduces support for Scala 3.x and drops support for Scala 2.11 and 2.12, making Scala 2.13 the default version. The library's internal code has been refactored to use ZIO and ZIO Prelude, replacing previous dependencies on Scalaz, Scalaz-Stream, fs2, monocle, refined, and spire. This migration simplifies several data types (such as RVar, Step, and StepS), improves error messages through variance annotations, and replaces the underlying list-like representation of Position with a more performant structure. Additionally, CSV output support has been removed in favor of Parquet, and several ADT classes have been moved to companion objects to clean up the project namespace.

(repo-wide) · high confidence

The core library has been refactored to use ZIO Prelude, replacing previous functional programming abstractions. This migration introduces new type aliases for randomness (RVar), algorithmic steps (Step, StepS), and non-empty collections (NonEmptyVector), and updates the internal implementation of distributions, selection strategies, and metric spaces to align with the ZIO Prelude ecosystem.

core · high confidence

The exec module has been refactored to use ZIO Prelude, introducing a new MonadStep abstraction and updating package objects for Scala 2.12+ and Scala 3 to leverage ZIO's prelude types like ZValidation and Assertion for handling execution steps and data validation.

exec · high confidence

Added comprehensive test coverage for core optimization components; Removal of legacy JUnit 3.8 test suite.

This change introduces the foundational build infrastructure for the project, including a new \build.sbt\ file that defines the multi-module structure (core, pso, ga, de, etc.) and integrates ZIO-based libraries for the core module. It also adds a new Docusaurus-based documentation website under the \website/\ directory, establishing the necessary \package.json\ and \yarn.lock\ files to manage frontend dependencies for the project's public site.

(dependencies) · high confidence

Written by watchdog.canine.dev from the codebase's own history, inside the signed delivery this page is composed from.

• First survey — no prior run to compare against. CAI 69.

• Code Health 92
• Architecture 99
• Maturity 59
• Readiness 68
• Security 84

• 300 commits — 294 feature/other, 6 fixes

• (root) — 91 commits
• core/src — 53 commits
• example/src — 31 commits
• docs/src — 28 commits
• .github/workflows — 22 commits
• (repo) — 19 commits
• tests/src — 9 commits
• exec/src — 6 commits
• io/src — 5 commits
• pso/src — 4 commits
• .circleci/config.yml — 3 commits
• project/BuildHelper.scala — 3 commits
• project/deploy-site.sh — 3 commits
• .github/CONTRIBUTING.md — 2 commits
• de/src — 2 commits
• docs/community-tutorial — 2 commits
• docs/design — 2 commits
• project/build.properties — 2 commits
• project/plugins.sbt — 2 commits
• .github/CODEOWNERS — 1 commit

• fix: 2.12 is default, SBT build update and scaladoc link fix
• fix: Added Step discussion and spelling fixes
• fix: Fix Euclidean and Manhattan distance metrics
• fix: Fix step test to use new Eval scheme
• fix: Lens fixes and testing Fit cases (#291)
• fix: Trying to fix travis again
• change: Accept benchmarks in Eval
• change: Add Traverse1 instance for Position
• change: Add badges to show versions (#273)
• change: Add basic parquet file output
• change: Add example of GCPSO
• change: Add example of time varying parameters (#289)
• change: Add example of using a GA to do random search
• change: Add matrix for scala versions in build
• change: Add nushell to the development environment
• change: Add release-drafter for better release information
• change: Add some additional config for the semanticdb
• change: Add spectrum badge
• change: Add the tool pqrs to the development shell
• change: Add wart detection
• …and 280 more

• 0 containers · 1 bounded contexts · 0 dependency edges (baseline)

Written by watchdog.canine.dev from the codebase's own history, inside the signed delivery this page is composed from.

ciren/cilib was measured the same way every project in this corpus was: the same rubric, at a pinned commit, with the result published in full. Point a surveyor at a repository you know and see whether you agree with it.