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 […]
Author: Decoderz
A 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 […]
Continue ReadingFlower Pollination Algorithm (FPA): A Novel Method Motivated from the Behavior of Flowers for Optimal Solution
1. Introduction Flower Pollination Algorithm (FPA) is a nature inspired population based algorithm proposed by Xin-She Yang (2012). The main objective of the flower pollination is to produce the optimal reproduction of plants by surviving the fittest flowers in the flowering plants. In fact this is an optimization process of plants in species. FPA […]
Continue ReadingBehavior of Artificial Feeding Birds (AFB) using Meta-heuristics method
1. Introduction Artificial Feeding Birds (AFB), a new metaheuristic inspired by the very trivial behavior of birds searching for food. AFB is very simple, yet efficient, and can be easily adapted to various optimization problems. Many algorithms have been inspired by nature [1]. More recently, researchers inspired themselves from the behavior of animals for […]
Continue ReadingDolphin Echolocation Algorithm (DEA): A Novel Method Motivated from the Behavior of Dolphin for Optimal Solution
1. Introduction Dolphin Echolocation Algorithm is mimics strategies used by dolphins for their hunting process. Dolphins produce a kind of voice called sonar to locate the target, doing this dolphin change sonar to modify the target and its location. In order to implement the optimization task an improved dolphin echolocation meta-heuristic algorithm is proposed. […]
Continue ReadingSailfish Optimizer (SFO): A Novel Method Motivated from the Behavior of Sailfish for Optimal Solution
1. Introduction Optimization can be used essentially in a variety of fields from engineering design to economics or holiday planning to Internet routing. Metaheuristic algorithms can provide appropriate technique to solve optimization problems through mathematical modeling of social political evolution. These algorithms are using methods that find solutions close to the optimum with an […]
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