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Evolopy ⭐ 331

EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.

Distributedevolutionarycomputation ⭐ 84

A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered.

Ec A Modern Perspective ⭐ 33

Evolutionary Computation: A Modern Perspective ---> This is a free online book, which is actively updated now.

Harris Hawks Optimization Algorithm And Applications ⭐ 25

Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/ In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).

Simple Implementation Of Ml Algorithms ⭐ 17

My simplest implementations of common ML algorithms

A minimalistic framework for Numerical Association Rule Mining

Particle Swarm Optimization Fortran 95 ⭐ 11

A Fortran 95 code for Particle Swarm Optimization. The code is general. The fitness function is defined in a separate file and can be replaced by any user defined fitness function.

Uarmsolver ⭐ 8

universal Association Rule Mining Solver

Slime Mould Algorithm A New Method For Stochastic Optimization ⭐ 6

In this paper, a new stochastic optimizer, which is called slime mould algorithm (SMA), is proposed based upon the oscillation mode of slime mould in nature. The proposed SMA has several new features with a unique mathematical model that uses adaptive weights to simulate the process of producing positive and negative feedback of the propagation wave of slime mould based on bio-oscillator to form the optimal path for connecting food with excellent exploratory ability and exploitation propensity.

C++ Optimization Library

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