Optimization Algorithms

Artificial Bee Colony (ABC) Algorithm

The Artificial Bee Colony algorithm is a swarm-based optimization technique inspired by the foraging behavior of honeybee swarms. It has been adopted to solve complex numerical and combinatorial problems, particularly those that require global optimization. For the creation of optimization algorithms that are based on population, different natural phenomena are used. These algorithms have different …

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PSO Optimization – IEEE 69 Bus System – MATLAB Programming

This article will provide an overview of the application of Particle Swarm Optimization (PSO) to optimize the performance of the IEEE 69 Bus System using MATLAB programming. It will discuss key concepts related to PSO, such as its search methodology, velocity equations, and inertia constants, and explain how they can be used in order to …

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PARTICLE SWARM OPTIMIZATION (PSO) MATLAB CODE EXPLANATION

Overview and Development: Particle Swarm Optimization is one of the most important algorithms used in modern data analysis and mathematical programming. This algorithm aims to find the best solution or feasible solution for a given optimization problems. The basic idea is that you keep a set of similar differentiable functions placed in a cluster, and …

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