Rain optimization algorithm (ROA): Inspired by the Raindrop’s behaviour used for the Application of Forecasting Rainfall using Machine Learning Strategies

1. Introduction A new optimization algorithm called Rain optimization Algorithm (ROA) [1] is validated by applying on computationally expensive benchmark problems [2]. ROA mimics the natural behavior of raindrops trickling down a hill (high position) towards a valley (low position) [3]. 2. Inspiration of ROA The main inspiration of ROA is from raindrop behavior [4]. Raindrops naturally trickle down along […]

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Sandpiper Optimization Algorithm (SOA): A New Approach to Solve Challenging Real- Life Problems

1. Introduction In different real-world problems there is a need to minimize production cost, risks, and maximize reliability etc [1]. Optimization is the process of determining the best value for a decision variable of a function so as to minimize or maximize an objective function [2]. The objective of the optimization process is to determine […]

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Vapour – Liquid Equilibrium (VLE): An Algorithm Inspired by the Chemical Phenomenon for Solving a New Patient Bed Assignment Problem

1. Introduction In Chemistry, the vapor-liquid equilibrium process describes the distribution of chemical species combining two essential phases [1]: vapor phase and liquid phase. Using a binary system of compounds is possible to simulate a search process based on the equilibrium between both phases [2]. Understanding the distribution of chemical components in both the vapor and liquid phase, called vapor-liquid […]

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Border Collie Optimization (BOC): Algorithm mimicking the Sheep Herding Styles of Border Collie Dogs used for Solving Real World Optimization Problem

1. Introduction The Border collie is often considered to be the brightest dog from other breeds that are considered to have higher cognitive skill levels [1]. It is known that dogs, like people, have different levels of intelligence [2]. Intelligence is determined by the ability of the dog to learn, which generally means the ability […]

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Vascular Invasive Tumor Growth Optimization (VITGO): The Tumor Growth Machanism to Encounter Optimization Problems in Scientific and Technological Research and Development

1. Introduction Tumor is an abnormal growth of tissue [1]. The growth of tumor is a complex process, influenced by the interactions between tumor cells and their microenvironment, including their surrounding cells, as well as the extracellular matrix (ECM) [2], chemical signals, as well as metabolic substrates such as oxygen and glucose. Tumor tissue are […]

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A Novel Game Based Algorithm: Shell Game Optimization (SGO) Simulating the Rules of Game for Solving Optimization Problems in Different Fields of Science

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]. […]

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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 […]

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Corona 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 […]

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A 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 […]

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A 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 […]

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