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What are you currently working on?

Given Ncube on August 26, 2023

Let's hear them cool side projects you're currently hacking

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Vincent A. Cicirello

A variety of things but mostly:

Chips-n-Salsa - A Java library of customizable, hybridizable, iterative, parallel, stochastic, and self-adaptive local search algorithms

The Chips-n-Salsa library includes implementations of several stochastic local search algorithms, including simulated annealing, hill climbers, as well as constructive search algorithms such as stochastic sampling; and now also includes genetic algorithms as well as evolutionary algorithms more generally. It includes several classes for representing solutions to a variety of optimization problems. For example, the library includes a BitVector class that implements vectors of bits, as well as classes for representing solutions to problems where we are searching for an optimal vector of integers or reals. For each of the built-in representations, the library provides the most common mutation operators and crossover operators for use with evolutionary algorithms. The library provides extensive support for permutation optimization problems, including implementations of many different mutation operators for permutations, and utilizing the efficiently implemented Permutation class of the JavaPermutationTools (JPT) library. Chips-n-Salsa is customizable, making extensive use of generic types, enabling using the library to optimize other types of representations beyond what is provided in the library. It is hybridizable, providing support for integrating multiple forms of local search (e.g., using a hill climber on a solution generated by simulated annealing), creating hybrid mutation operators (e.g., local search using multiple mutation operators), and classes that support running more than one type of search for the same problem concurrently using multiple threads as a form of algorithm portfolio. Chips-n-Salsa is iterative, with support for multistart metaheuristics, including implementations of several restart schedules for varying the run lengths across the restarts. It also supports parallel execution of multiple instances of the same, or different, stochastic local search algorithms for an instance of a problem to accelerate the search process. The library supports self-adaptive search in a variety of ways, such as including implementations of adaptive annealing schedules for simulated annealing, such as the Modified Lam schedule, implementations of the simpler annealing schedules but which self-tune the initial temperature and other parameters, and restart schedules that adapt to run length.

favicon chips-n-salsa.cicirello.org

The GitHub repository is:

GitHub logo cicirello / Chips-n-Salsa

A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms

Chips-n-Salsa - A Java library of customizable, hybridizable, iterative, parallel, stochastic, and self-adaptive local search algorithms

Chips-n-Salsa Mentioned in Awesome Machine Learning

Copyright (C) 2002-2023 Vincent A. Cicirello.

Website: chips-n-salsa.cicirello.org/

API documentation: chips-n-salsa.cicirello.org/api/

Publications About the Library DOI
Packages and Releases Maven Central GitHub release (latest by date) JitPack
Build Status build docs CodeQL
JaCoCo Test Coverage coverage branches coverage
Security Snyk security score Snyk Known Vulnerabilities
DOI DOI
Other Information GitHub style
Support GitHub Sponsors Liberapay Ko-Fi

How to Cite

If you use this library in your research, please cite the following paper:

Cicirello, V. A., (2020). Chips-n-Salsa: A Java Library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms. Journal of Open Source Software, 5(52), 2448, doi.org/10.21105/joss.02448 .

Overview

Chips-n-Salsa is a Java library of customizable, hybridizable, iterative, parallel, stochastic, and self-adaptive local search algorithms. The library includes implementations of several stochastic local search algorithms, including simulated annealing, hill climbers, as well as constructive search algorithms such as stochastic sampling. Chips-n-Salsa now also includes genetic algorithms as well as evolutionary algorithms more generally. The library very extensively supports simulated annealing. It includes several classes for representing solutions to a variety of optimization problemsโ€ฆ

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Given Ncube

Cool how'd you come up with that name

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cicirello profile image
Vincent A. Cicirello

I made a long list of terms that could apply to the library. And then I experimented with different combinations until I found chips-n-salsa.

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shrey vijayvargiya

Web3 mobile wallet, non-custodial wallet app, in fact writing about it as daily update!!
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Salpha

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John

I am working on a cryptocurrency with 0$ transaction fees and sub 15 second transactions. It's already 90% finished but really hard to bring to market.

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ani Watches

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Backlink spike

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Backlink spike

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james

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Retiago Drago
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Ben Halpern

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james

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check 5ive

currently working on one of my clients' k1 game APK website development project using react.js