1. Introduction Mayflies are insects that belong to the order Ephemeroptera, which is part of an ancient group of insects called Palaeoptera. It is estimated that there are over 3000 species of mayflies worldwide. Their name derives from the fact that they appear mainly during May in the UK [1]. The Mayfly optimation algorithm (MA) […]
Author: Decoderz
A Novel Swarm-Intelligence based Optimization Algorithm: Rat Swarm Optimizer (RSO) for Solving the Challenging Optimization Problems
1. Introduction Nature-inspired algorithms are becoming extremely popular for solving various optimization problems [1]. This is due to the fact that these algorithms search for the fittest solution based upon ‘trial and error’ criterion. Also, they are easy to implement due to their simple conceptual model and the least requirement of gradient information [2]. Broadly, […]
Continue ReadingDecoderz #20 |26th October 2020| Cuckoo Search Optimization Algorithm -AI Tutorial
In this video, we will be discussing about Cuckoo search is an optimization algorithm developed by Xin-she Yang and Suash Deb in 2009. It was inspired by the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds (of other species). Some host birds can engage direct […]
Continue ReadingDecoderz #19|19th Oct 2020| AI Tutorial – Harris Hawks Optimization Algorithm
In this video, we will discussing about, The Harris hawks optimization (HHO) algorithm is a new swarm intelligence optimization paradigm proposed by Ali Asghar Heidari et al. in 2019, which is inspired by the team behaviors and chasing patterns of Harris’s hawk in nature called surprise pounce. The Harris’s hawk is notable for its behavior […]
Continue ReadingDecoderz #18|9th August 2020| AI Tutorial – Particle Swarm Optimization Algorithm
In this video, we will be discussing about the Particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality.It solves a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around […]
Continue ReadingDecoderz #17 |06 OCT 2020| Corona-virus Optimization Algorithm – COVID-19 World Pandemic
In this video, we will discussing about CVOA in detailed manner. The explanation includes a new global crisis of corona virus how they spreads and infects person. Also how we can implement CVOA for optimization problems in real world. Please share your opinion in the comment box. Subscribe our channel for more videos. Thanks for […]
Continue ReadingPolitical Optimizer (PO): Inspired by the Multi-Phased Political Process Efficiently Solving Classical Engineering Problems
1. Introduction Politics in different contexts holds different meanings. In political optimizer algorithm PO, we use the political system of a country as a reference point and mimic the behavior of politicians to achieve the end goal of optimization [1]. Politics is about the governance of a region, state or country. The party-based political systems […]
Continue ReadingHorse Optimization Algorithm (HOA): Representative in Engineering Problem Application on classification of the Smart Grid Stability
1. Introduction Bio-inspired computing refers to a class of optimization algorithms which apply the intelligence of the nature and one of their main applications is the solving of the complex engineering optimization problems [1]. A novel algorithm inspired from the hierarchical organization of the horse herds obtained a Horse Optimization Algorithm (HOA). The modified version […]
Continue ReadingChaos Game Optimization (CGO): Useful for the Application of Fractal Theory such as Classification and Identification
1. Introduction Game is a competitive activity involving skill, chance, or endurance on the part of two or more persons who play according to a set of rules, usually for their own amusement or for that of spectators Most of the design problems in the nature can be considered as optimization problems which request some […]
Continue ReadingDecorderz #16 Theory & Applications of Genetic Algorithm: Darwin’s Theory of Evolution
Genetic Algorithm (GA) is developed in 1975 by Prof. John Holland was inspired by Darwin’s theory of evolution which states that the survival of an organism is affected by rule “the strongest species that survives”. Darwin also stated that the survival of an organism can be maintained through the process of reproduction, crossover and mutation. […]
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