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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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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Dolphin 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. […]

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Pigeon Inspired Optimization (PIO) Algorithm: A Novel method motivated from the behavior of Pigeons for Optimal Solution

1. Introduction     Pigeon-inspired Optimization (PIO) algorithm is a novel swarm intelligence optimization algorithm, which was firstly invented by Duan in 2014. Population-based swarm intelligence algorithms have been widely accepted and successfully applied to solve many optimization problems. All the bio-inspired optimization algorithms are trying to simulate the natural ecosystem mechanisms, which have greatly improved […]

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