2013 IEEE CEC Competition on Niching Methods for Multimodal Optimization

Package for using CEC'2013 Large Scale Global Optimization benchmark in Python, this benchmark is used also in CEC'2014 and in CEC'2015

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A testing platform for intelligent optimization algorithm based on Matlab with CEC2013 benchmark

Collection of test suites including CEC2005, CEC2013, CEC2019 benchmarks

Package for using CEC'2013 Real Single Objective Optimization in Python, deployed in pypi with the same name.

R wrappers for CEC 2013, 2014, 2015, 2017, 2019, 2021, 2022.

PropFa Firefly Algorithm for CEC2013 and 20105 benchmarks. Used in "Modified firefly algorithm for area estimation and tracking of fast expanding oil spills Article in Applied Soft Computing 73 · September 2018 with 15 Reads DOI: 10.1016/j.asoc.2018.09.024" Use "propfa_cec2015.py" for CEC2013 benchmarks.. Yes, the file naming is incorrect. Use "propfa_cec2005.py" for CEC2005 benchmarks..

Standardized test-functions for optimization algorithms and machine-learning

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Benchmark Functions for the Special Session and Competition on Real-Parameter Single Objective Optimization at CEC-2013

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mac下可编译的matlab cec2013 测试函数

:exclamation: This is a read-only mirror of the CRAN R package repository. cec2013 — Benchmark functions for the Special Session and Competition on Real-Parameter Single Objective Optimization at CEC-2013. Homepage: http://www.rforge.net/cec2013, http://cran.r-project.org/web/packages/cec2013

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PSO based on optimization cec2013lsgo benchmarks

The cec2013lsgo's torch efficient parallel version

benchmarks of evolutionary computation, e.g., cec2013 and cec2017

Supplementary material for the paper entitled "The Plackett-Luce Ranking Model on Permutation-based Optimization Problems"

PSO resolviendo funciones de CEC2013

This repository provides implementations to solve the CEC2013 benchmark functions using the SHADE algorithm and compares results with other optimization frameworks.

Evoworkers implemented as PiCloud jobs.

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Evaluation criteria and details of CEC2013 test set functions

Presentation for CEC 2013 using impress.js

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Problem for the CEC 2013 Special Session on Large-Scale Real-Parameter Optimization

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Benchmark data generation script for 2013 CEC Paper Improving genetic programming based symbolic regression using deterministic machine learning" by Icke and Bongard.