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11 search results found

🎯 A comprehensive gradient-free optimization framework written in Python

Chips N Salsa ⭐ 48

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

Ai N Queens ⭐ 22

Solving and GUI demonstration of traditional N-Queens Problem using Hill Climbing, Simulated Annealing, Local Beam Search, and Genetic Algorithm.

Metroplex ⭐ 16

Using Simulated Annealing, Hill Climbing, and Genetic Algorithms to recreate images using shapes 🤖 🧬

A C# Library to aid programming for meta-heuristics

Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be executed in parallel or in a distributed fashion. Experimental results can be evaluated in various ways, including diagrams, tables, and export to Excel.

Ai Programming Using Python ⭐ 12

This repository contains implementation of different AI algorithms, based on the 4th edition of amazing AI Book, Artificial Intelligence A Modern Approach

Pyoptframe Dev ⭐ 8

Python bindings for OptFrame C++ Functional Core

Evolutionary Timetable Scheduling ⭐ 7

An algorithm for creating a good timetable for the Faculty of Computing. The algorithm is based on evolutionary strategies, more precisely on the 1+1 evolutionary strategy and Shotgun hill climbing.

Graphsearchalgorithms_geneticalgorithm_hillclimbing ⭐ 6

Implement Algorithms For Graph Search (like A*) & Local Search (like hill climbing algorithms) & Genetics

Inveniemus.js ⭐ 6

A search and optimization library, focusing on metaheuristics.

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