aliasgharheidaricom / Slime-Mould-Algorithm-A-New-Method-for-Stochastic-Optimization-
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 …
☆40Updated 7 months ago
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
- Grey Wolf Optimizer Matlab☆62Updated last year
- All nature-inspired algorithms involve two processes namely exploration and exploitation. For getting optimal performance, there should b…☆99Updated 5 years ago
- This script implements the hybrid of PSO and GWO optimization algorithm.☆89Updated last year
- MATLAB implementations of standard and chaos-incorporated versions of the firefly metaheuristic tested on continuous optimization functio…☆12Updated 6 years ago
- ☆11Updated 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…☆173Updated 4 years ago
- Multi-Objective PSO (MOPSO) in MATLAB☆33Updated 4 years ago
- Improve Deep Learning based CNN & Extreme Learning Machine With Particle Swarm Optimization (Deep PSO) For Classification☆19Updated last year
- selective grey wolf optimization with opposition based learning☆27Updated 4 years ago
- The Matlab/Octave code contains codes of Whale Optimization Algorithm and Particle Swarm Optimization.☆67Updated 5 years ago
- A new metaheuristic for global optimization problems proposed in the IEEE Congress on Evolutionary Computation (CEC), 2018☆28Updated 3 years ago
- Hybrid Particle Swarm and Grey Wolf Optimizer☆19Updated 3 years ago
- Sample Code Collection of Nature-Inspired Computational Methods☆47Updated last year
- Particle Swarm Optimization☆22Updated 8 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…☆36Updated 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
- Harris Hawks Optimization (HHO) is a nature-inspired metaheuristic algorithm that simulates the cooperative hunting behavior of Harris' h…☆55Updated 4 months ago
- Yarpiz Evolutionary Algorithms Toolbox for MATLAB☆47Updated 4 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
- 13 improved particle swarm optimization algorithms☆14Updated last year
- Genetic Algorithms for Multi Objective Optimization☆19Updated 7 years ago
- 这是一个带约束条件的非支配排序遗传算法NSGA-II，解决了一个多目标优化问题☆110Updated last year
- 整理35篇期刊所使用的benchmark function(2007-2021)，並且統計各benchmark function的出現次數☆17Updated 3 years ago
- N. Singh and S. Singh, "Hybrid Algorithm of Particle Swarm Optimization and Grey Wolf Optimizer for Improving Convergence Performance", J…☆24Updated 3 years ago
- MATLAB Tool for Multi-Objective Optimization☆56Updated 3 months ago
- MATLAB☆32Updated 7 years ago
- Particle Swarm Optimisation for Feature Selection☆17Updated 6 years ago
- An optimization algorithm inspired from bubble-net foraging of humpback whales.☆16Updated 4 years ago
- Heterogeneous comprehensive learning and dynamic multi-swarm particle swarm optimizer with two mutation operators (HCLDMS-PSO).☆16Updated 4 years ago
- Whale Optimization Algorithm used to train Neural Network☆20Updated 8 years ago