1. Introduction A novel bio-inspired metaheuristic algorithm, named as Tunicate Swarm Algorithm, is simplified for optimizing non-linear constrained problems [1]. It is inspired by the swarm behavior of tunicate to survive successfully find the location of food source in the depth of ocean [2]. This fact has motivated to develop a new population based metaheuristic […]
Tag: AI
Metaheuristic Anopheles Search Algorithm: An Natural Inspired Phenomena Utilized in Engineering Optimization Problems
1. Introduction Nowadays, different optimization problems have been solved using various optimization techniques mainly try to obtain optimal solution in the proximity of initial point [1]. Due to increase in complexity of optimization problems and number of optimal points, efficiency of finding global optima has decreased [2]. Thus the new natural phenomena inspired algorithm known […]
Continue ReadingManta Ray Foraging Optimization (MRFO): An Effective Bio-Inspired Optimization Technique for addressing Engineering Applications
1. Introduction Many real-world optimization problems are increasingly becoming challenging [1]. Therefore a new bio-inspired optimization technique, named Manta Ray Foraging Optimization (MRFO) algorithm, is presented, aiming to providing a novel algorithm that provides an alternate optimization approach for addressing real-world engineering issues [2]. The contribution of this algorithm is the foraging behaviors of manta […]
Continue ReadingThe Feedback Artificial Tree Algorithm (FAT): Great Potential to Solve Wide Range of Practical Optimization Problems
1. Introduction The Feedback Artificial Tree Algorithm employs a tree-based recovery mechanism that defined to maintains reachability information to three generations of family in the tree [1]. The entire material exchange process means that both of the transfer of organic matters and the feedback of moistures are taken into account. Meanwhile, with the moisture feedback […]
Continue ReadingA Novel Hunting based Algorithm: Chimp Optimization Algorithm (ChOA) Utilizing to tackle different Optimization problems in different Industrial tasks.
1. Introduction The chimpanzee, also known as the common chimpanzee, robust chimpanzee, or simply “chimp”, is a species of native to the forests of tropical Africa [1]. The chimpanzee is covered in coarse black hair, but has a bare face, fingers, toes, palms of the hands, and soles of the feet. They are as much as the closest to the humans […]
Continue ReadingButterfly 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 […]
Continue ReadingA 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 […]
Continue ReadingA 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 […]
Continue ReadingA 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 […]
Continue ReadingDEER 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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