Cheetah chase algorithm (CCA): a nature-inspired metaheuristic algorithm

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Lion Optimization Algorithm (LOA): A nature-inspired metaheuristic algorithm

During the past decade, solving complex optimization problems with metaheuristic algorithms has received considerable attention among practitioners and researchers. Hence, many metaheuristic algorithms have been developed over the last years. Many of these algorithms are inspired by various phenomena of nature. In this paper, a new population based algorithm, the Lion Optimization Algorithm (LO...

متن کامل

A New Metaheuristic Bat-Inspired Algorithm

Metaheuristic algorithms such as particle swarm optimization, firefly algorithm and harmony search are now becoming powerful methods for solving many tough optimization problems. In this paper, we propose a new metaheuristic method, the Bat Algorithm, based on the echolocation behaviour of bats. We also intend to combine the advantages of existing algorithms into the new bat algorithm. After a ...

متن کامل

BeesAnts: a new nature-inspired routing algorithm

In this paper, we have introduced a new multi-agent nature-inspired routing algorithm. The algorithm is referred to as the BeesAnts algorithm. It is a combination of the ant colony-based routing algorithm (ARA) and the BeeHive-based routing algorithm. The proposed routing algorithm works effectively on networks consisting of two parts; one is a fixed network and the other is a mobile ad hoc net...

متن کامل

A Survey on Ant Inspired Metaheuristic Algorithm-Parallel Approaches

Although ant is not one of those smart creatures, when swarm, however co-operate with each other while foraging(in search of food) they have this great ability to unearth an optimal solution to their problem thus coming up with the shortest path from their nest to the food source in case of foraging. Ants grant excellent efficiency while solving combinatorial problems and also have the potentia...

متن کامل

Electromagnetic field optimization: A physics-inspired metaheuristic optimization algorithm

This paper presents a physics-inspired metaheuristic optimization algorithm, known as Electromagnetic Field Optimization (EFO). The proposed algorithm is inspired by the behavior of electromagnets with different polarities and takes advantage of a nature-inspired ratio, known as the golden ratio. In EFO, a possible solution is an electromagnetic particle made of electromagnets, and the number o...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: International Journal of Engineering & Technology

سال: 2018

ISSN: 2227-524X

DOI: 10.14419/ijet.v7i3.18.14616