1. Introduction Shell Game Optimization (SGO) simulating the rules of a game known as shell game to design an algorithm for solving optimization problems in different fields of science [1]. The key idea of the SGO is to find the ball hidden under one of the three shells, which should be guessed by players [2]. […]
Author: Decoderz
Groundwater Flow Algorithm (GWFA): Inspired by the Movement of Groundwater Flow Applied to Several Standard Engineering Problems
1. Introduction Groundwater is one of the most valuable natural resources especially in arid regions due to negligible rainfall and the scarcity of surface water resources [1]. Groundwater models are computer models of groundwater flow systems, and are used by various types of numerical solutions like the finite difference method and the finite element method. 2. Optimization Approach Technique Optimization […]
Continue ReadingDecoderz #10 Solid Oxide Fuel Cell Connected to Electrical Power System Simulation
Model Description: Model is designed in MATLAB/Simulink working Platform version R2015a (64 bit version). System Requirements: Intel(R) Core(TM) i3-5005U CPU @ 2.00GHZ, 4GB RAM. In this video, we will be discussing about Solid Oxide Fuel Cell Connected to Electrical Power System Model MATLAB/Simulink design with Step by Step Execution process and Achieved Results. This model consists of following components […]
Continue ReadingCorona Virus Optimization Algorithm (CVOA): A Successful Application in Hybrid Approaches to Find Parameters in Machine Learning Model Optimization
1. Introduction The corona virus (COVID-19) is a new respiratory virus, firstly discovered in humans in December 2019 in Wuhan china that has spread worldwide, having been reported more than 1 million infected people so far [1]. Corona viruses are a large family of viruses which may cause illness in animals or humans [2]. In […]
Continue ReadingA Novel Parameter –free Optimization Algorithm for Solving Real Engineering Problems: Golden Ratio Optimization Method (GROM)
1. Introduction A new meta-heuristic optimization algorithm known as golden ratio optimization method (GROM) that is based on natural growth [1]. The golden ratio is often found in nature and even in the human body while many of the most often examples of the golden ratio have been found in plants, animals, insects and other natural […]
Continue ReadingDecoderz #9 COVID-19 Spreading predictions using Different Scenarios (Lock down)
Model Description: Model is designed in MATLAB/Simulink working Platform version R2015a (64 bit version). System Requirements: Intel(R) Core(TM) i3-5005U CPU @ 2.00GHZ, 4GB RAM. In this video, we will be discussing about COVID-19 Spreading Status MATLAB source code under different scenarios like lock down and without lock down with Step by Step Execution process and Achieved Results. This is […]
Continue ReadingDecoderz #8 MATLAB Simulation of Hybrid Electric Vehicle Power Using Battery
Model Description: Model is designed in MATLAB/Simulink working Platform version R2015a (64 bit version). System Requirements: Intel(R) Core(TM) i3-5005U CPU @ 2.00GHZ, 4GB RAM. In this video, we will discussing about Hybrid Electric Vehicle Power Using Battery Model MATLAB/Simulink design with Step by Step Execution process and Achieved Results. This model consists of following components like Battery, DC-DC Converter, […]
Continue ReadingDecoderz #7 Simulation and Execution Process of Small Scaled Micro-grid Model
Model Description: Model is designed in MATLAB/Simulink working Platform version R2015a (64 bit version). System Requirements: Intel(R) Core(TM) i3-5005U CPU @ 2.00GHZ, 4GB RAM. In this video, we will discussing about Small Scaled Micro-grid Model MATLAB/Simulink design with Step by Step Execution process and Achieved Results. This model consists of following components like Reference Irradiance, PV, Battery, Load(House Load), […]
Continue ReadingA Brand – New Metaheuristic Algorithm: Slime Mould Algorithm to Tackle the Optimization Problem
1. Introduction The giant single-celled slime mould Physarum polycephalum is known to approximate a number of network problems via growth and adaptation of its protoplasmic transport network and can serve as an inspiration towards unconventional, material-based computation [1]. It is clear that humans cannot live without the rhythmic patterns of signals or material flows.Therfore a […]
Continue ReadingShuffled Shepherd Optimization Algorithm (SSOA): To Find the Right Parameters for Each Problem
1. Introduction In today’s extremely competitive world, everybody offers the maximum output or profit from a limited amount of available resources [1]. Optimization offers a suitable technique for finding maximum output or profit. That is why optimization techniques are becoming more popular. A new population-based meta-heuristic optimization algorithm of Shuffled shepherd optimization algorithm (SSOA) is […]
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