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 […]
Tag: computer science
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 […]
Continue ReadingShuffled Shepherd Optimization Algorithm (SSOA): To Find the Right Parameters for Each Problem
1. Introduction In today’s extremely competitive world, everybody offers the maximum output or profit from a limited amount of available resources [1]. Optimization offers a suitable technique for finding maximum output or profit. That is why optimization techniques are becoming more popular. A new population-based meta-heuristic optimization algorithm of Shuffled shepherd optimization algorithm (SSOA) is […]
Continue ReadingA Novel Bio- Inspired Metaheuristic Algorithm: Tunicate Swarm Algorithm (TSA) for Optimizing Non –Linear Constrained Problems
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 […]
Continue ReadingMetaheuristic 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 […]
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