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 Ant Colony Optimization 

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A demo program of image edge detection using ant colony optimization.



This is a demo program of the paper Ant colony optimization for wavelet-based image interpolation using a three-component exponential mixture model," Expert Systems with Applications, Vol. 38, No. 10, Sept. 2011, pp. 12514-12520.



This is a demo program of the paper J. Tian, W. Yu, and L. Ma, "AntShrink: Ant colony optimization for image shrinkage," Pattern Recognition Letters, Vol. 31, Oct. 2010, pp. 1751-1758.



Dynamic job shop scheduling problem is one form of a job shop scheduling problem with varying arrival time job or not concurrent. This problem can be represented in graph form, which is to seek the shortest path from start point to destination...



This is a demo program of the paper L. Ma, J. Tian, and W. Yu, "Visual saliency detection in image using ant colony optimisation and local phase coherence," Electronics Letters, Vol. 46, Jul. 2010, pp. 1066-1068.



Simple POSIX multithread Ant Colony Optimizer framework currently for solving Vehicle Routing Problem. Supports UDP, file synchronizatoin between computers.



Evolutionary optimization methods, inspired from natural processes, have shown good performance in solving complex optimization problems. For example, genetic algorithms (inspired from biological evolution of human and other species), ant colony...



These files are the MATLAB code for "Imperialist Competitive Algorithm (ICA)" which in some papers is referred by "Colonial Competitive Algorithm CCA".

Evolutionary optimization methods, inspired from natural...



In this M-file, the implementation of ACO Algorithm is given with the support of reference papers listed. You can easily use it as following command to see the pictures of result and the playing iterative course.
ACO('filename.tsp');



here is m-files for tsp problem .it is well written with good descriptions.and works even for large number of nodes.



Algorithm for solving search and optimization problems.



A few popular metaheuristic algorithms are included, such as the particle swarm optimization, firefly algorithm, harmony search and others.



M-files accompanying the " Genetic Algorithms & New Optimization Methods in MATLAB " webinar.

These files provide what you need to run the two demos: Optimization of non-smooth objective function, and Optimization of a...



Particle swarm optimization is a technique used in many control systems application. Here i used the PSO in PID controller tuning



An animated simulation of Particles in 2D searching for a global minima of a simple function using Particle Swarm Optimization algorithm



The files in this folder solve the optimization case studies described in the paper "VaR vs CVaR in Risk Management and Optimization" by Sarykalin,S., Serraino,G., and Uryasev,S., in Tutorials in Operations Research, INFORMS 2008...



This upload contains a hybrid Particle Swarm Optimization algorithm for functions in the real space. An options file is also provided, which lets the user fully parameterize the process. The hybrid function used is the @fminsearch, which is...



This demo shows how to use MATLAB, Optimization Toolbox, and Genetic Algorithm and Direct Search Toolbox to optimize the design of a double wishbone suspension system.

Note: You will need to have the following products installed in...



GANSO is a programming library for global and nonsmooth, nonlinear optimization. Unlike local methods (e.g., quasi-Newton), global optimization methods aim at locating the absolute minimum of a function, not the nearest stationary point. GANSO...



Deterministic unconstrained optimization method using Powell.