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).

Test Functions for Multi-Objective Optimization

RIME A physics based optimization algorithm, Neurocomputing, 2023 https://doi.org/10.1016/j.neucom.2023.02.010, This paper proposes an efficient optimization algorithm based on the physical phenomenon of rime-ice

The source code of EMOFM-DK : An Evolutionary Multiobjective Optimization Based Fuzzy Method for Overlapping Community Detection

CMA-ES in MATLAB

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…

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…

MultiObjectiveFAEICA-Algorithm (Multi-objective fuzzy adaptive optimisation approach)

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…

Some evoluationary algorithms (e.g., genetic algorithm and water flow optimizer) using GPU.

A genetic algorithm variant to run parallel populations to save time while acting similar to the original one

Strength Pareto Evolutionary Algorithm 2 (SPEA2) in MATLAB

A pure-MATLAB library of EVolutionary (population-based) OPTimization for Large-Scale black-box continuous Optimization (evopt-lso).

FAEICA-Algorithm (Fuzzy adaptive optimisation method)

Moss Growth Optimization (MGO) mimics the natural growth processes of moss to achieve effective optimization through a combination of local and global search strategies

FBGA-MLP model (hybrid machine learning model)

Assignment 1 of EC2021 (Evolutionary-Computation-and-Its-Applications)

Solving the Travelling salesman problem using genetic algorithms in Matlab.

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.

Assignments and Classworks for evolutionary computing for Summer Semester 2018 at Hochschule Bonn-Rhein-Sieg