Let's hear them cool side projects you're currently hacking
Given Ncube @slimgee
About: Full Stack Developer and Marketer. Founder at Flixtechs
Location:
Harare
Joined:
Jul 12, 2020
What are you currently working on?
Publish Date: Aug 26 '23
5 16Comments 16 total
- Vincent A. CicirelloAug 27, 2023
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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Features:
Multiplayer Mode: Compete against friends or players worldwide in real-time parking challenges. Show off your parking prowess and climb the leaderboards to become the ultimate parking champion.
Diverse Environments: From bustling cityscapes to serene suburban streets, each environment presents a new set of obstacles and parking scenarios. Adapt to various parking conditions and prove your adaptability.
Realistic Physics: Experience true-to-life car handling and parking physics. Navigate tight spots, handle parallel parking, and deal with unexpected obstacles with realistic controls and mechanics.
Customizable Vehicles: Personalize your cars with a range of customization options. Choose from different models, colors, and accessories to make your ride truly your own.
Dynamic Challenges: Engage in daily and weekly challenges that offer unique parking missions and rewards. Overcome these challenges to earn special bonuses and unlock new content.
Intuitive Controls: Easy-to-learn controls ensure that players of all skill levels can jump in and start parking. Advanced players can fine-tune their skills to achieve perfection.
Social Features: Team up with friends or form parking clubs to collaborate on challenges and share your achievements. Chat with other players and build your own parking community.
Precision Parking: Multiplayer Edition combines the thrill of competitive gameplay with the satisfaction of mastering a complex skill. Perfect your parking abilities, compete for the top spot, and enjoy a rich multiplayer experience in this exciting and dynamic game!
check 5iveAug 24, 2024currently working on one of my clients' k1 game APK website development project using react.js
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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.
The GitHub repository is:
A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms
Chips-n-Salsa
Copyright (C) 2002-2023 Vincent A. Cicirello.
Website: chips-n-salsa.cicirello.org/
API documentation: chips-n-salsa.cicirello.org/api/
How to Cite
If you use this library in your research, please cite the following paper:
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 problems…