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Solving Air Crew Scheduling Problems using Genetic Algorithms
A collection of mathematical test functions for benchmarking optimization algorithms.
100-Digit Competition. This folder includes GECCO 2019 and SEMCCO 2019 too, in addition to CEC 2019
All nature-inspired algorithms involve two processes namely exploration and exploitation. For getting optimal performance, there should be a proper balance between these processes. Further, the majority of the optimization algorithms suffer from local minima entrapment problem and slow convergence speed. To alleviate these problems, researchers are now using chaotic maps. The Chaotic Gravitational Search Algorithm (CGSA) is a physics-based heuristic algorithm inspired by Newton's gravity principle and laws of motion. It uses 10 chaotic maps for global search and fast convergence speed. Basically, in GSA gravitational constant (G) is utilized for adaptive learning of the agents. For increasing the learning speed of the agents, chaotic maps are added to gravitational constant. The practical applicability of CGSA has been accessed through by applying it to nine Mechanical and Civil engineering design problems which include Welded Beam Design (WBD), Compression Spring Design (CSD), Pressure Vessel Design (PVD), Speed Reducer Design (SRD), Gear Train Design (GTD), Three Bar Truss (TBT), Stepped Cantilever Beam design (SCBD), Multiple Disc Clutch Brake Design (MDCBD), and Hydrodynamic Thrust Bearing Design (HTBD). The CGSA has been compared with seven state of the art stochastic algorithms particularly Constriction Coefficient based Particle Swarm Optimization and Gravitational Search Algorithm (CPSOGSA), Standard Gravitational Search Algorithm (GSA), Classical Particle Swarm Optimization (PSO), Biogeography Based Optimization (BBO), Continuous Genetic Algorithm (GA), Differential Evolution (DE), and Ant Colony Optimization (ACO). The experimental results indicate that CGSA shows efficient performance as compared to other seven participating algorithms.
Codes for some of my co-authored journal/conference papers
Matlab codes: Comparative study of truss sizing optimisation problem 2022 (add new algorithms)
a modified version of SEIR model to predict equilibrium points for COVID-19 pandemic
Data and codes for the ANN-based electricity-gas dispatch article on Applied Energy (https://www.sciencedirect.com/science/article/pii/S030626192100043X).
Fractional Order Numerical Methods
Hybrid Surrogate Assisted Many-objective Evolutionary Algorithm for Expensive Multi/Many Objective Optimization Problems
This repository is used to implement and analyze nature inspired computing algorithms on various benchmark function. We also try to solve some real world problems by MHA.
转码人:卢月亮 QQ:771527850 E-mail:[email protected] 日期:2017年11月 根据PSO多目标转变方式:1、将当前获得的Pareto解集中的一个解作为全局最优解参与寻优; 2、全局学习维度为15维;3、以网格化的方式进行溢出pareto解集的删除。
nsga2 and MOEA/D
Evolutionary multi-objective optimization platform
Implementation of Optimization Techniques for Economic Dispatch of Power Systems
粒子群优化算法
CMPT409 of Simon Fraser University
The repository of paper Review of PSO for course Professional English, here post the code include SPSO, BBPSO, CLPSO etc.
Robust algorithm for global optimization problems
Advanced Aspects of Nature Inspired Search and Optimisation Assignment
Particle swarm optimization based on dimensional learning strategy
a novel metaheuristics for global optimization
A complete tutorial on how to run YOLOv8 custom object detection on Android with ncnn
A sample android application of live object detection for any YOLOv8 detection model
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.