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Metaheuristics

Python implementation of Particle Swarm Optimization

Previously we published implementation of Particle Swarm Optimization (PSO) in MATLAB. Now, the Python implementation of PSO is available to download. It is very easy to use and very similar to the MATLAB implementation. Also, a tutorial on PSO and its implementation is freely available, here [+]. Downloads The download link of this project follows. Particle Swarm Optimization (PSO) in ...

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Particle Swarm Optimization (PSO) in MATLAB — Video Tutorial

In this video tutorial, implementation of Particle Swarm Optimization (PSO) in MATLAB is discussed in detail. In the first part, theoretical foundations of PSO is briefly reviewed. In the next two parts of this video tutorial, PSO is implemented line-by-line and from scratch, and every line of code is described in detail. After watching this video tutorial, you will be ...

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Cultural Algorithm (CA) in MATLAB

Downloads The download link of this project follows. Implementation of Cultural Algorithm (CA) in MATLAB Download

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Real-Coded Simulated Annealing (SA) in MATLAB

Downloads The download link of this project follows. Implementation of Real-Coded Simulated Annealing (SA) in MATLAB Download

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Artificial Bee Colony in MATLAB

Artificial Bee Colony (ABC) is a metaheuristic algorithm, inspired by foraging behavior of honey bee swarm, and proposed by Derviş Karaboğa, in 2005. It is a simple, yet powerful algorithm, and can be used to solve wide variety of practical and real-world optimization problems. For more information on the Artificial Bee Colony algorithm you can refer to the related article ...

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Bees Algorithm (BeA) in MATLAB

Bees Algorithm (BeA) is a metaheuristic optimization algorithm, inspired by food foraging behavior of honey bee colonies, and proposed by Pham et al., in 2005. In this algorithm, the mechanism of Waggle Dance is used to simulate the communication between bees. Better bees (solutions) have more opportunity to do waggle dance, and hence they are capable of attract more bees ...

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Firefly Algorithm (FA) in MATLAB

Firefly Algorithm (FA) is a metaheuristic algorithm for global optimization, which is inspired by flashing behavior of firefly insects. This algorithm is proposed by Xin-She Yang in 2008. Fireflies use the flashing behavior to attract other fireflies, usually for sending signals to opposite sex. However, in the mathematical model, used inside Firefly Algorithm, simply the fireflies are unisex, and any ...

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Invasive Weed Optimization (IWO) in MATLAB

Invasive Weed Optimization (IWO) is a nature-inspired metaheuristic, inspired by spreading strategy of weeds, and proposed by Alireza Mehrabian and Caro Lucas, in 2006. Based on the r/K Selection Theory, the artificial weeds (solutions) use the r-Selection strategy in the beginning of algorithms, and gradually they switch to K-Selection strategy, as algorithm continues to running. For more information on the ...

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Imperialist Competitive Algorithm (ICA) in MATLAB

Imperialist Competitive Algorithm (ICA), also known as Colonial Competitive Algorithm (CCA), is a sociopolitical metaheuristics, inspired by historical colonization process and competition among imperialists, to capture more colonies. Set of countries (solutions) in ICA, is partitioned to form several Empires, which contains a single Imperialist and several other weaker countries, called Colonies. This algorithm is proposed by Esmaeil Atashpaz Gargari ...

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Tabu Search (TS) in MATLAB

Tabu Search (TS) is a local search-based metaheuristic, which is proposed by Fred W. Glover, in 1986. Tabu Search is completely based on the definition of neighborhood and actions converting a solution to its neighboring solutions. This algorithms starts with a single solution, and searches for better solutions, applying actions and moving between neighbor solutions. However, acceptance, applicability and availability ...

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