Assignments and Classworks for evolutionary computing for Summer Semester 2018 at Hochschule Bonn-Rhein-Sieg
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Updated
Feb 21, 2019 - MATLAB
Assignments and Classworks for evolutionary computing for Summer Semester 2018 at Hochschule Bonn-Rhein-Sieg
A pure-MATLAB library of EVolutionary (population-based) OPTimization for Large-Scale black-box continuous Optimization (evopt-lso).
A genetic algorithm variant to run parallel populations to save time while acting similar to the original one
The source code of EMOFM-DK : An Evolutionary Multiobjective Optimization Based Fuzzy Method for Overlapping Community Detection
CMA-ES in MATLAB
Biogeography-Based Optimization (BBO) in MATLAB
Imperialist Competitive Algorithm (ICA) in MATLAB
Strength Pareto Evolutionary Algorithm 2 (SPEA2) in MATLAB
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. Powe…
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…
The optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers. Most of these cliché methods mimic animals' searching trends and possess a small contribution to the optimization process itself. Most of these cliché methods suffer from the locally efficient performance, biased verification methods on easy problems, an…
Assignment 1 of EC2021 (Evolutionary-Computation-and-Its-Applications)
Test Functions for Multi-Objective Optimization
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.
FuzzyMSFLA-Algorithm (Fuzzy adaptive optimisation method)
Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).
FAEICA-Algorithm (Fuzzy adaptive optimisation method)
MultiObjectiveFAEICA-Algorithm (Multi-objective fuzzy adaptive optimisation approach)
FBGA-MLP model (hybrid machine learning model)
Implementation of genetic algorithms with matlab
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