Evolutionary multi-objective optimization platform

Multitask Optimization Platform (MToP): A MATLAB Optimization Platform for Evolutionary Multitasking

A very fast, 90% vectorized, NSGA-II algorithm in matlab.

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.

In this paper, a new stochastic optimizer, which is called slime mould algorithm (SMA), is proposed based upon the oscillation mode of slime mould in nature. The proposed SMA has several new features with a unique mathematical model that uses adaptive weights to simulate the process of producing positive and negative feedback of the propagation …

NSGA-III: Non-dominated Sorting Genetic Algorithm, the Third Version — MATLAB Implementation

Image contrast enhancement via a hybrid of ant colony optimization, genetic algorithm, and simulated annealing

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

Adaptive Model-based Transfer Evolutionary Algorithm

EA codes from CIAM Group at SUSTech, Shenzhen, China

Code for “MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection“--[IEEE Transactions on Knowledge and Data Engineering (TKDE 24)]

CMA-ES in MATLAB

Invasive Weed Optimization (IWO) algorithm feature selection

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…

Based on our paper on Multi-Objective Harris Hawk's Optimization with Altruism for Unsupervised Brain MRI Segmentation

Research project to perform feature selection in a fully unsupervised scenario

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…

Mateda3 version updated for Matlab2020 and adding new functionalities

An Evolutionary-Based Adaptive Neuro-Fuzzy Expert System as a Family Counselor before Marriage with the Aim of Divorce Rate Reduction