Decoderz #1: Fuel Cell Electric Vehicle Energy Management Step by step Execution Process and Results

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 This Video discussing about Fuel Cell Electric vehicle Energy Management MATLAB/Simulink Design with Step by Step Execution process and Achieved Output Results. This model consists of following components like Energy management […]

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Butterfly Optimization Algorithm(BOA) : To Solve Engineering Problems

1.Introduction Butterfly optimization algorithm(BOA) is a population based natural inspired algorithm. BOA algorithm is first introduced by Aroa and Sing in 2019[1]. The real-world biological or physical phenomena of the food/flowersare solved using BOA optimization problems. The butterflies food searching capability is the main inspiration of this algorithm. Butterflies have a several senses such as […]

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A Novel Physics based Optimization Algorithm: Equilibrium Optimizer (EO)

1. Introduction Equilibrium is a state in which opposing forces are balanced. Optimization and equilibrium models are used routinely in environmental engineering and science [1]. This allows solving different kinds of equilibrium problems, such as multi-objective optimization problems etc, the equilibrium optimizer of each particle solution with its concentration position acts as a search agent […]

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A New Nature Inspired Search Algorithm: Woodpecker Mating Algorithm (WMA) applies it to Challenging problems in Structural Optimization

1. Introduction The Woodpecker Mating Algorithm (WMA) is the nature inspired search population-based metaheuristic algorithm that imitates the mating behavior of woodpeckers [1]. Woodpeckers are wonderful birds and there are nearly 200 various species of them. They use an effective strategy of communication known as drumming to attract the other gender for the process of […]

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A Population Based Metaheuristic Art Inspired Algorithm: Color Harmony Algorithm (CHA) for Solving Real World Optimization Problems

1. Introduction Colors, usually perceived a major role in the world for the numerous number of multicolored combinations to the objects. It is known that the relationship between colors and human emotions has a stable influence on how we perceive our environment [1]. A population-based metaheuristic method algorithm known as the Color Harmony Algorithm is […]

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A Dynamic Polymorphic Population based Algorithm: Side – Blotched Lizard Algorithm (SBLA) a reliable Algorithm to use in Real – World Problems

1. Introduction The Side- Blotched Lizard Algorithm (SBLA) is a subpopulation-based optimization algorithm is to define the total and partial populations of lizards, taking into consideration how the distribution of each morph gradually changes as time goes by. Such lizard’s analysis with three morphs connected with the particular mating strategies [1]. The strategy takes into […]

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DEER HUNTING OPTIMIZATION (DHO) ALGORITHM: HUNTING BEHAVIOR OF HUMANS TOWARD DEER

1. INTRODUCTION A novel meta-heuristic algorithm, named DHOA, proposed by Brammya et al. in 2019 which is inspired by the hunting behavior of humans toward deer. Even though the activities of the hunters differ, the way of attacking the buck/deer is based on the hunting strategy they develop. Due to the special abilities of deer, […]

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Group Teaching Optimization Algorithm (GTOA): Inspired by group teaching mechanism for the application of solving global optimization problems

1. Introduction Group Teaching Optimization Algorithm (GTOA) is aimed at improving the knowledge of the whole class by simulating the group teaching mechanism. Group teaching is a teaching approach widely applied in many educational programmers on an international level [1]. It takes various formats as a teaching method, such as ability grouping, mixed-ability grouping, mixed-age grouping etc. Education aims to […]

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Sparrow Search Algorithm (SSA): A Swarm Intelligence Optimization Algorithm for the Application to Solve Practical Engineering Examples

1. Introduction The sparrow search algorithm (SSA) is an effective optimization technique, which simulates the group wisdom foraging and anti-predation behaviors of sparrows. Searching is the process which is to look into or over carefully or thoroughly in an effort to find or discover something [1]. In sparrow search is the simple act of gathering […]

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Sunflower optimization algorithm (SFO): population-based nature inspired algorithm mimicking the sunflowers movement towards the sun

1. Introduction The SFO is a new meta-heuristic algorithm which is stimulated by the moving of sunflowers towards the sunlight by considering the pollination between adjacent sunflowers. Also, the SFO is stimulated by the inverse square law radiation and it is a technique is a population-based iterative heuristic global [1] optimization algorithm for multi-modal problems. […]

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