yilmazmehmet's starred repositories

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40-Algorithms-Every-Programmer-Should-Know

40 Algorithms Every Programmer Should Know, published by Packt

jMetalPy

A framework for single/multi-objective optimization with metaheuristics

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python-dersleri

Python Programlama, Masaüstü Uygulamaları, Web Geliştirme ve Daha Fazlası

pyMetaheuristic

pyMetaheuristic: A Comprehensive Python Library for Optimization

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pyMultiobjective

A python library for the following Multiobjective Optimization Algorithms or Many Objectives Optimization Algorithms: C-NSGA II; CTAEA; GrEA; HypE; IBEA-FC; IBEA-HV; MOEA/D; NAEMO; NSGA II; NSGA III; OMOPSO; PAES; RVEA; SMPSO; SMS-EMOA; SPEA2; U-NSGA III

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pymop

Single- as well as Multi-Objective Optimization Test Problems: ZDT, DTLZ, CDTLZ, CTP, BNH, OSY, ...

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TOPSIS-Python

Source code for TOPSIS optimization algorithm in python

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DynamoSAP

Dynamo <> SAP interoperability.

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Niched-Pareto-Genetic-Algorithm-NPGA

Genetic Algorithm (GA) for a Multi-objective Optimization Problem (MOP)

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Python_ileri_seviye

İleri Seviye Python Dersleri

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cpm

An implementation of the Critical Path Method algorithm.

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CPSOCGSA-for-Engineering-Design-Optimization

Constriction Coefficient Based PSO and Chaotic GSA for Engineering Design Problems

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ypstruct

A simple and easy-to-use MATLAB-like structure type for Python

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PS-NSGA

source code of the article "A problem-specific non-dominated sorting genetic algorithm for supervised feature selection"

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circuit_optimizer

A multi-objective circuit optimizer using NSGA-III evolutionary algorithm

NumPy-Beginner-s-Guide---Second-Edition

NumPy Beginner’s Guide - Second Edition

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MeO

A meta-objective approach for many-objective evolutionary optimization (Evolutionary Computation)

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Test-Problems-with-DtA-PF-Boundaries

They are the MATLAB codes used in the TEVC paper "A Generator for Multiobjective Test Problems with Difficult-to-Approximate Pareto Front Boundaries". It includes two algorithms MOEA/D-DRA and MOEA/D-DRA-UT, the test problems F1-F16 and their corresponding true Pareto Fronts.

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CE-TF-NSGAIII_GA_EDA

Proposta de algoritmo evolucionário multiobjetivo baseada em uma extensão híbrida (GA e EDA) do NSGAIII

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Crane-optimization

The publication for mobile crane performance optimization

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Quantum-Evolutionary-Algorithm-Knapsack-

The Classic version of Quantum Evolutionary Algorithm (QEA) solving "Knapsack" problem.

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tclp

A multi-objective optimization model for crane layout planning.

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Optimization-of-Trusses-Benchmarks

Practice Problems using Metaheuristic algorithms

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MM2T

The source code of Multi-modal Multi-objective To Two-objective

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