wangluchen567/CHOCCY

基于NumPy构建的启发式优化器框架<br> Chen's Heuristic Optimizer Constructed with Core numpY

Language: Python - Size: 127 MB - Last synced at: about 12 hours ago - Pushed at: about 13 hours ago - Stars: 0 - Forks: 0

thieu1995/X-ANFIS

BIO-ANFIS: A Bio-inspired Optimization Framework for Improving ANFIS Networks

Language: Python - Size: 941 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 5 - Forks: 1

thieu1995/MetaPerceptron

MetaPerceptron: A Standardized Framework For Metaheuristic-Driven Multi-layer Perceptron Optimization

Language: Python - Size: 287 KB - Last synced at: 10 days ago - Pushed at: 2 months ago - Stars: 10 - Forks: 1

godon-dev/godon

(ancient german = improving, rearranging, rendering benign)

Language: Python - Size: 3.17 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 2 - Forks: 0

IkarosKurtz/Metaheuristicas-II

This repository contains code for homework, projects, and activities from the Metaheuristics II course at Universidad Autónoma de Aguascalientes. The content will be organized as I progress through the course.

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thieu1995/IntelELM

IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine

Language: Jupyter Notebook - Size: 4.2 MB - Last synced at: 10 days ago - Pushed at: 3 months ago - Stars: 16 - Forks: 4

thergh/evolution

Applying evolutionary metaheuristic algorithms to solve Travelling Salesman Problem.

Language: C++ - Size: 59.6 KB - Last synced at: 19 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Jungstershark/P-Median-Problem

The P-Median Problem project uses metaheuristic optimization to solve the p-median location problem, with Jupyter notebooks implementing random sampling and local search algorithms to minimize service distances.

Language: Jupyter Notebook - Size: 3.05 MB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

thergh/TSP-Annealing-Taboo

Solving Travelling Salesman Problem examples using Simulated Annealing and Taboo Search approaches and comparing the results.

Language: C++ - Size: 139 KB - Last synced at: 19 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

thieu1995/reflame

reflame: Revolutionizing Functional Link Neural Network by Metaheuristic Optimization

Language: Python - Size: 130 KB - Last synced at: 10 days ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 0

thieu1995/EvoRBF

EvoRBF: A Nature-inspired Algorithmic Framework for Evolving Radial Basis Function Networks

Language: Python - Size: 3.99 MB - Last synced at: 9 days ago - Pushed at: 5 months ago - Stars: 7 - Forks: 1

aliasgharheidaricom/Harris-Hawks-Optimization-Algorithm-and-Applications

Harris Hawks Optimization (HHO) is a nature-inspired metaheuristic algorithm that simulates the cooperative hunting behavior of Harris' hawks. Widely used in engineering, machine learning, and resource allocation, HHO is renowned for its simplicity, versatility, and effectiveness in finding global optima.

Language: MATLAB - Size: 2.99 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 52 - Forks: 12

SafwanAlselwi/RNN-LSTM-SLR

RNN-LSTM: From Applications to Modeling Techniques and Beyond - Systematic Review

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jcrvz/customhys

Customising optimisation metaheuristics via hyper-heuristic search (CUSTOMHyS). This framework provides tools for solving, but not limited to, continuous optimisation problems using a hyper-heuristic approach for customising metaheuristics. Such an approach is powered by a strategy based on Simulated Annealing. Also, several search operators serve as building blocks for tailoring metaheuristics. They were extracted from ten well-known metaheuristics in the literature.

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universePr/Two-dimensional-Bin-Packing-Problem-with-Fixed-Orientation

An implementation of "Crow Search Algorithm" for Solving Two-dimensional Bin Packing Problem

Language: Python - Size: 16.6 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

ches-001/random-algorithms-go

A repository for random algorithms. I append to this repository when I have free time (I have very little free time)

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jcmh05/GeneticAlgorithms

Metaheuristic algorithms for function optimization in java

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hainn2803/Capacitated-vehicle-routing-problem-with-pick-up-and-delivery-Optimization

A project for Fundamental of Optimization class at HUST, Winter 2022

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K-BiabaniHamedani/Improved-Hybrid-Growth-Optimizer

This repository contains the Matlab source codes of the Improved Hybrid Growth Optimizer (IHGO) algorithm, an improved variant of the recently-developed Growth Optimizer (GO) algorithm.

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minikku/Differentiated-Creative-Search

This work introduces Differentiated Creative Search (DCS), a groundbreaking optimization algorithm that revolutionizes traditional decision-making systems in complex environments.

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FTVarna/Adaptive-HIDMS-PSO

Adaptive Heterogeneous Improved Dynamic Multi-Swarm PSO (A-HIDMS-PSO) Algorithm

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FTVarna/HIDMS-PSO

Heterogeneous Improved Dynamic Multi-Swarm PSO (HIDMS-PSO) algorithm.

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edofarrell/norinori-honey-badger-algorithm

Game Playing Agent (Artificial Intelligence) - Solving the Norinori Puzzle using the Honey Badger Algorithm and Q-Learning

Language: Python - Size: 19.5 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

ADNANE-RBT/metaheuristics

This project implements two nature-inspired optimization algorithms: Moth Flame Optimization (MFO) and Honey Badger Optimization (HBO). Both algorithms are designed to solve complex optimization problems by mimicking behaviors observed in nature. also it includes a path finding algorithm, A-star

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sippathamm/MTHPlanner

Path Planning with Metaheuristic Algorithms in C++

Language: C++ - Size: 6.39 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

TheArcus02/TSP-Metaheuristic-Python

TSP - Ant Colony Optimization

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thieu1995/SO-MO-ILCO-FCB

(Code) A Novel Nature-inspired Algorithm for Optimal Task Scheduling in Fog-Cloud Blockchain System

Language: Python - Size: 301 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

hidalgoabraham/eureka-msmn

A tool to automatic design Multiple-Stub Matching Networks (MSMN) for wideband on Transmission Lines, using Metaheuristics Optimization Algorithms.

Language: Python - Size: 2.34 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

boatzaa1456/Project-Set-Based-Mayfly-Algorithm-for-Solving-Order-Batching-Problems

This research proposes a novel order batching approach for warehouses to minimize total tardiness, considering category, weight, and fragility constraints. A Set-based Mayfly Algorithm (SBMA) is developed, adapting the Mayfly Algorithm to the discrete problem and leveraging swarming/mating behaviors to avoid local optima.

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vkotiyal/thesis-ecs-codes

Python code for ECS-NL.

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bghojogh/Metaheuristic-Optimization

The codes for metaheuristic optimization algorithms

Language: Python - Size: 23.4 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 7

Emad-Salehi/UAV-Path-Planning-using-Gray-Wolf-Optimization

Regenerated a state-of-the-art meta-heuristic algorithm for the UAV path planning problem, proposed by Qu, Gai, and Zhong.

Language: MATLAB - Size: 11.7 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 38 - Forks: 7

arawxx/PSO-demonstration

Demonstration of Particle Swarm Optimization (Auto Hyperparameter variant).

Language: Python - Size: 465 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 3

jhadziahDev/Diverse-Protein-Discovery-in-Large-Scale-Datasets-A-Machine-Learning-Perspective

This work was aimed at finding methods to identify the most distant proteins and most diverse subsets of proteins from large protein databases in a scalable and efficient way using a dataset of protein embeddings from SwissProt, data mining techniques and metaheuristics.

Language: Python - Size: 1.22 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

mariakranz/PEA_Projekt_2

PWr, kurs Projektowanie efektywnych algorytmów, projekt nr 2

Language: C++ - Size: 1.15 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

KentaKato/SpyOpt

C++ implementation of the metaheuristic spy_algorithm. It can search for global optimal solutions for arbitrary non-convex functions.

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lucadivit/CrystalStructureAlgorithm

Current repository contains my implementation of Crystal Structure Algorithm.

Language: Python - Size: 2.93 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

srivatsav06/AI_PROJECT

CS F407 Project

Language: Python - Size: 1.36 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

rafflezs/TCC-Heuristica

Repositório para o projeto de Conclusão de Curso, continuação do projeto de Iniciação Cientifica com Metaheuristica própria.

Language: Jupyter Notebook - Size: 9.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ElhNour/flow_shop_scheduling

Size: 3.29 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

miladpayandehh/TSP-using-Genetic-Algorithm

Travelling Salesman Problem (TSP)

Language: MATLAB - Size: 11.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ozgunozankilic/Metaheuristic-Seating-Plan-Optimization

Optimizing where people are seated based on their interpersonal affinities.

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Shrinidhi1/PSO-Kmeans-Hybrid-for-High-Dimensional-Data-Clustering-with-Autoencoder

Enhancing the performance of high dimensional automatic data clustering using Particle Swarm Optimization (PSO) algorithm employing Autoencoder in Stock Market data.

Language: Python - Size: 14.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

sqaz91819/Metaheuristics

Implementation of some metaheuristic algorithms.

Language: Python - Size: 747 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

sqaz91819/mahw

Metaheuristic algorithm homework

Language: C++ - Size: 124 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

toohidsharifi/Optimal-design-of-Permanent-Magnet-Synchronous-Motor

Optimal Design of a Permanent Magnet Synchronous Motor Using the Cultural Algorithm

Size: 629 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

fereol023/Metaheuristics-for-variable-selection-UL

Algorithmes de selection de variables pour préparer un apprentissage non supervisé. La version finale du programme est sélectionne les prédicteurs les plus pertinents en effectuant un apprentissage à chaque génération. La métrique optimisée (dans le cadre du dataset utilisé) est l'accuracy. Nous avons testé les deux métaheuristiques sur un dataset de 1551 variables. || Two variable selection algorithms to prepare unsupervised learning. The final version of the program selects the variables by performing a learning at each generation. The optimized metric (in the context of the dataset used) is the accuracy rate.

Language: Python - Size: 760 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1

dsbalico/sudoku-solver-using-simulated-annealing

A web application that solves a sudoku puzzle using simulated annealing algorithm.

Language: TypeScript - Size: 58.6 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

toohidsharifi/Optimal-design-of-switch-reluctance-motor

Torque Ripple Minimization for a Switch Reluctance Motor Using the Ant Lion Optimization Algorithm

Size: 632 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Priya-cse/PSO-and-KMeans-for-Clustering-High-dimensional-data-using-Autoencoders

Enhancing the Performance of PSO Algorithm for Clustering High dimensional data using Autoencoders

Language: Python - Size: 17.6 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Damian2057/Intelligent-data-analysis-techniques

A repository containing the implementation of data analysis algorithms

Language: Java - Size: 264 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

ali-ece/Nature-Inspired-Metaheuristic-Search-Algorithms-for-Optimizing-Benchmark-Problems-Inclined-Planes-S

In the literature, different types of inclined planes system optimization (IPO) algorithms have been proposed and evaluated in various applications. Due to the large number of variants and applications, this work provides an overview of IPO’s state-of-the-art in terms of variants presented, applications, statistical evaluation, and analysis. In addition, the performance of IPO variants are evaluated and compared. The results are benchmarked against other algorithms. Final evaluation based on statistical analysis and a new and effective ranking methodology indicates the optimal performance and relative success of all IPO variants and their performance in comparison with other recent diverse metaheuristic search competitors, including reinforcement learning, evolution-based, swarm-based, physics-based, and human-based. The performance of IPO variants shown that the use of bio-operators to improve the standard version is more successful than other applied approaches. So that, the successful performance of SIPO + M with a minimum overall ranking of 0.73 has been ahead of all versions, and the complexity of IPO equations has also been led to a high time loss and achieving a maximum overall ranking of 2.07. Among other algorithms, it shown that versions without control parameters perform exploration and exploitation processes intelligently and more successful. For example, POA-I, POA-II, SLOA, OPA, and CMBO are among the methods that achieved the best performance, with minimum overall ranking values of 0.363, 0.384, 0.387, 0.424, and 0.933, respectively.

Language: MATLAB - Size: 81.1 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

ali-ece/IPO-Inclined-Planes-system-Optimization-Algorithm

A new optimization method based on the dynamic of sliding motion along a frictionless inclined plane. In IPO, a collection of agents cooperate with each other and move toward better positions in the search space by employing Newton’s second law and equations of motion. The standard version of the IPO is presented by Mozafari et al. in 2016. Powerful improved versions of it called MIPO and SIPO along with its multi-objective version of MOIPO were presented in 2016, 2017 and 2019 by Dr. Ali Mohammadi (myself) and colleagues at the University of Birjand, respectively. This powerful algorithm has also been used in many applications, which has provided very good outputs. In the following, the standard version of the IPO algorithm along with the benchmark functions reviewed in its reference article, and its improved versions are attached.

Language: MATLAB - Size: 2.04 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 1

ali-ece/A-Modified-Inclined-Planes-system-Optimization-MIPO-Algorithm

With the aim of create a powerful trade-off between the concepts of exploitation and exploration, and rectify the complexity of their structural parameters in the standard IPO, a modified version of IPO (called MIPO) is introduced as an efficient optimization algorithm for digital infinite-impulse-response (IIR) filters model identification. The MIPO utilizes an appropriate mechanism based on the executive steps of algorithm with the constant damp factors.

Language: MATLAB - Size: 6.84 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 1

MustafaLotfi/Optimized-Inverse-Dynamics-Controller

Obtaining the best coefficients of Inverse Dynamics Controller, for a dynamical system, with Optimization Algorithms.

Language: MATLAB - Size: 3.3 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 0

FarshidKeivanian/A-novel-hybrid-fuzzy-metaheuristic-approach-for-multimodal-single-objective-optimization-problems

FAEICA-Algorithm (Fuzzy adaptive optimisation method)

Language: MATLAB - Size: 12.7 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1

chasebk/code_ISLO_ELM

A study on swarm intelligence optimizing neural networks for workload elasticity prediction

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ali-ece/Design-of-optimal-CMOS-ring-oscillator-using-an-intelligent-optimization-tool

This paper presents an intelligent sizing method to improve the performance and efficiency of a CMOS Ring Oscillator (RO). The proposed approach is based on the simultaneous utilization of powerful and new multi-objective optimization techniques along with a circuit simulator under a data link. The proposed optimizing tool creates a perfect tradeoff between the contradictory objective functions in CMOS RO optimal design. This tool is applied for intelligent estimation of the circuit parameters (channel width of transistors), which have a decisive influence on RO specifications. Along the optimal RO design in an specified range of oscillaton frequency, the Power Consumption, Phase Noise, Figure of Merit (FoM), Integration Index, Design Cycle Time are considered as objective functions. Also, in generation of Pareto front some important issues, i.e. Overall Nondominated Vector Generation (ONVG), and Spacing (S) are considered for more effectiveness of the obtained feasible solutions in application. Four optimization algorithms called Multi-Objective Genetic Algorithm (MOGA), Multi-Objective Inclined Planes system Optimization (MOIPO), Multi-Objective Particle Swarm Optimization (MOPSO) and Multi-Objective Modified Inclined Planes System Optimization (MOMIPO) are utilized for 0.18-mm CMOS technology with supply voltage of 1-V. Baesd on our extensive simulations and experimental results MOMIPO outperforms the best performance among other multi-objective algorithms in presented RO designing tool.

Size: 10.9 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 9 - Forks: 2

azizAbdennebi/Soft-Computing-Algorythms

Language: Python - Size: 42 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

prateekshyap/CPP-in-SDN

MATLAB simulations for Controller Placement Problem in Software Defined Networks

Language: MATLAB - Size: 17.4 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

minailkhani/Some-Bio-Inspired-Algorithms-Projects

Language: Jupyter Notebook - Size: 2.53 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

jonasgrebe/bees-bats-fireflies

Implementation of three nature-inspired search algorithms: Bees Algorithm, Bat Algorithm, and Firefly Algorithm

Language: HTML - Size: 284 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 3

Computational-Intelligence-Fall18/Computational-Intelligence-Tutorials

This is the repository of codes written in class.

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aliciavr/DEFramework

A framework for differential evolution

Language: Java - Size: 251 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

gabrielegilardi/PSO

Metaheuristic Minimization Using Particle Swarm Optimization.

Language: Python - Size: 76.2 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

FabGonzalezV/exact-type-algorithm

code example to axplain types of algorithms: algorithms by approximation or exacts algorithms

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FabGonzalezV/Travel-Salesman-Problem

Description of travel salesman problem and one example code genetic in python. In specific, one implentation with jsvascript language and explanation of process

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enes-usta/tsp-metaheuristic

M1 Project - Solving the TSP

Language: Java - Size: 2.52 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Pixelatory/Metaheuristic-List

A list of metaheuristics and links to their respective papers.

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mateuszlesko/GenericAlgoirthm

Implementation of Generic Algorithm

Language: Java - Size: 25.7 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1

shayansm2/metaalgolib

A python library for solving optimization problems using metaheuristic algorithms

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ali-ece/A-Simplified-and-Efficient-Version-of-Inclined-Planes-system-Optimization-SIPO-Algorithm

A simplified and effective version of IPO (called SIPO) with the aim of simplifying the main IPO equations, creating a powerful trade-off between the concepts of exploitation and exploration, and modifying the complexity of their structural parameters.

Language: MATLAB - Size: 5.86 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 1

BlancaCC/Problema-aprendizaje-pesos

Se pretende optimizar el clasificador K-NN [1] resolviendo el problema al que llamaremos Aprendizaje de pesos en características (APC)

Language: Julia - Size: 554 KB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

jmsallan/combheuristics

A package including some functions implementing heuristics for combinatorial problems, and some datasets for testing.

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TheMn/Feature-Selection-using-Simulated-Annealing

Language: Jupyter Notebook - Size: 2.92 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

amirabbasasadi/Babai

C++ Optimization Library

Language: C++ - Size: 2.16 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 0

gabrielegilardi/ANFIS-metaheuristic

Implementation of multivariate regression and classification using an adaptive neuro-fuzzy inference system (Takaki-Sugeno) and metaheuristic optimization.

Language: C++ - Size: 450 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

gabrielegilardi/SimulatedAnnealing

Implementation of metaheuristic optimization using population-based simulated annealing.

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ali-ece/Multi-Objective-Inclined-Planes-system-Optimization-MOIPO-

Multi-objective optimization based on sloping plate optimization algorithm called Multi-objective Inclined Planes system optimization algorithm (MOIPO) is presented in this link. The proposed method uses the concept of Pareto optimization to identify non-dominant positions and an external tank to maintain these positions.

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CasillasAlba/Big-Bang-Big-Crunch

Final project for Methaeuristics subject, taught at the University of Granada during the 2019/2020 academic year.

Language: Python - Size: 1.53 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

Atashnezhad/DE_Algorithm_Multi_Objective_Function

DE Algorithm code modified to be applicable for multi-objective function optimization problems.

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PanOrka/Metaheuristics

My attempts in Metaheuristic Algorithms

Language: C - Size: 416 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

xtenzQ/Uni-AI Fork of aptem336/ACO

🧠 Homework repository for AI course at Inha University

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jmsallan/optimization

Introduction to optimization algorithms and applications

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Willian-Girao/SOFiA

Novel global optimization meta-heuristic based on the dynamics of the process of opinion formation.

Language: Python - Size: 10.8 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0