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 […]
Continue ReadingSparrow 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 […]
Continue ReadingSunflower 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. […]
Continue ReadingInspired from dynamic behavior of bear based on sense of smell mechanism: Bear Smell Search Algorithm (BSSA)
Introduction The bear smell search algorithm (BSSA) imitates both dynamic behaviors of bear based on sense of smell mechanism and the way bear moves in the search of food in thousand miles farther. According to the comprehensive study of animal’s behavior and their senses in nature it can be concluded that the bear’s sense of […]
Continue ReadingA Bio Inspired Algorithm: Emperor Penguin Optimizer
1.Introduction The Emperor Penguin Optimizer Algorithm (EPO) is based on the huddling behavior of emperor penguins. The main process of EPO is to generate the huddle boundary, compute temperature around the huddle, calculate the distance, and find the effective mover. These steps are mathematically modeled and implemented on 44 well-known benchmark test functions [1]. Emperor […]
Continue ReadingBlack Widow Optimization (BWO) Algorithm: Mating Behaviour of Black Widow Spider for Solving Engineering Optimization Problems
1. Introduction A new metaheuristic optimization algorithm based on mating behavior of the black widow spiders, first proposed by V. Hayyolalam and A. Pourhaji Kazem in 2020, has been used to solve different engineering and scientific problems owing to their easiness and flexibility. The Black Widow Optimization Algorithm (BWO) is inspired by the unique mating […]
Continue ReadingA New Optimization Algorithm Inspired from the Mating Behavior of Barnacles: Barnacles Mating Optimizer Algorithms (BMO)
1. Introduction Optimization is the process of finding the best combination of variables or parameters that fulfill the constraints to achieve the objective function whether for minimization or maximization purposes. The objective function is normally formulated based on applications or problems to be solved and it can be in terms of cost, efficiency, profits etc. […]
Continue ReadingAn Efficient Harris Hawks Optimization (HHO) Algorithm for Solving Numerical Expressions
1. Introduction 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 [1] The Harris’s hawk is notable for its behavior of hunting cooperatively […]
Continue ReadingHoney Bee Mating Optimization (HBMO) Algorithm: Propelled Behavior of Bees Mating for Solving Optimization Problems
1. Introduction A new optimization algorithm based on honey bee mating, first proposed by Afshar et al. (2007), has been used to solve difficult optimization problems such as optimal reservoir operation (Haddad et al, 2007) and clustering (Fathian et al. 2007) [1]. Honey Bee mating Optimization Algorithm (HBMO) under different context by various researchers […]
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