aliasgharheidaricom / Slime-Mould-Algorithm-A-New-Method-for-Stochastic-Optimization-Links
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 …
☆47Updated last year
Alternatives and similar repositories for Slime-Mould-Algorithm-A-New-Method-for-Stochastic-Optimization-
Users that are interested in Slime-Mould-Algorithm-A-New-Method-for-Stochastic-Optimization- are comparing it to the libraries listed below
Sorting:
- Grey Wolf Optimizer Matlab☆66Updated last year
- This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to i…☆180Updated 4 years ago
- Yarpiz Evolutionary Algorithms Toolbox for MATLAB☆48Updated 4 years ago
- Sample Code Collection of Nature-Inspired Computational Methods☆48Updated 2 years ago
- All nature-inspired algorithms involve two processes namely exploration and exploitation. For getting optimal performance, there should b…☆101Updated 5 years ago
- Harris Hawks Optimization (HHO) is a nature-inspired metaheuristic algorithm that simulates the cooperative hunting behavior of Harris' h…☆62Updated 9 months ago
- MATLAB implementations of standard and chaos-incorporated versions of the firefly metaheuristic tested on continuous optimization functio…☆12Updated 7 years ago
- The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha…☆37Updated 5 years ago
- This script implements the hybrid of PSO and GWO optimization algorithm.☆95Updated last year
- Application of Whale Optimization Algorithm (WOA) in the feature selection tasks.☆28Updated 4 years ago
- A new metaheuristic for global optimization problems proposed in the IEEE Congress on Evolutionary Computation (CEC), 2018☆28Updated 4 years ago
- Heterogeneous comprehensive learning and dynamic multi-swarm particle swarm optimizer with two mutation operators (HCLDMS-PSO).☆16Updated 5 years ago
- ☆12Updated last year
- Equilibrium Optimizer (EO) is a novel optimization algorithm☆33Updated 5 years ago
- Al-Tashi, Q. et al(2019). Binary optimization using hybrid grey wolf optimization for feature selection. IEEE Access, 7, 39496-39508. Lin…☆17Updated 4 years ago
- # Introduction of DNN-AR-MOEA This repository contains code necessary to reproduce the experiments presented in Evolutionary Optimization…☆26Updated 4 years ago
- Improve Deep Learning based CNN & Extreme Learning Machine With Particle Swarm Optimization (Deep PSO) For Classification☆19Updated last year
- The Matlab/Octave code contains codes of Whale Optimization Algorithm and Particle Swarm Optimization.☆71Updated 6 years ago
- An improved chaotic gray wolf optimization algorithm was used☆15Updated 7 years ago
- Matlab source code of the paper "D. Wu and X. Tan, Multitasking Genetic Algorithm (MTGA) for Fuzzy System Optimization, IEEE Trans. on Fu…☆28Updated 5 years ago
- N. Singh and S. Singh, "Hybrid Algorithm of Particle Swarm Optimization and Grey Wolf Optimizer for Improving Convergence Performance", J…☆26Updated 3 years ago
- MATLAB implementations of standard and chaos-incorporated versions of the particle swarm optimization metaheuristic tested on continuous …☆10Updated 8 years ago
- MPA is a new metaheuristic for continuous optimization inspired by nature☆45Updated 5 years ago
- Demonstration on how binary grey wolf optimization (BGWO) applied in the feature selection task.☆35Updated 4 years ago
- Grey wolf optimizer based on random opposition learning, strengthening hierarchy of grey wolves and modified evolutionary population dyna…☆16Updated 3 years ago
- Code of the paper：A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection --[Knowledge-Based Systems 2…☆38Updated last year
- Matlab implementation of particle swarm optimization. Well documented with examples.☆92Updated 9 years ago
- selective grey wolf optimization with opposition based learning☆27Updated 5 years ago
- The binary version of Differential Evolution (DE), named as Binary Differential Evolution (BDE) is applied for feature selection tasks.☆11Updated 4 years ago
- Clustering analysis using an evolutionary optimization algorithm based on nature, Forest Optimization Algorithm☆21Updated 6 years ago