A Survey on Cat Swarm Optimization Algorithm

نویسندگان

چکیده

Swarm based optimization algorithms are a collection of intelligent techniques in the field Artificial Intelligence (AI) were developed for simulating behavior animals. Over years ago, problems complexity increased means that it is very difficult basic mathematical approaches to obtain an optimum solution optimal time, this leads researchers develop various base on natural behaviors living beings solving problems. This paper present review Cat Optimization (CSO), which powerful metaheuristic swarm-based algorithm inspired by cats Nature Since its first appearances 2006, CSO has been improved and applied different fields many researchers. In review, we majorly focus original some branches family algorithms. Some examples utilizing solve engineering also reviewed.

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

Cat swarm optimization clustering (KSACSOC): A cat swarm optimization clustering algorithm

Clustering is an unsupervised process that divides a given set of objects into groups so that objects within a cluster are highly similar with one another and dissimilar with the objects in other clusters. In this article, a new clustering method based on cat swarm optimization was proposed to find the proper clustering of data sets called K-means improvement and Simulated Annealing selection b...

متن کامل

Cat Swarm Optimization

In this paper, we present a new algorithm of swarm intelligence, namely, Cat Swarm Optimization (CSO). CSO is generated by observing the behaviors of cats, and composed of two sub-models, i.e., tracing mode and seeking mode, which model upon the behaviors of cats. Experimental results using six test functions demonstrate that CSO has much better performance than Particle Swarm Optimization (PSO).

متن کامل

Optimizing Artificial Neural Networks using Cat Swarm Optimization Algorithm

An Artificial Neural Network (ANN) is an abstract representation of the biological nervous system which has the ability to solve many complex problems. The interesting attributes it exhibits makes an ANN capable of ―learning‖. ANN learning is achieved by training the neural network using a training algorithm. Aside from choosing a training algorithm to train ANNs, the ANN structure can also be ...

متن کامل

Improved Cat Swarm Optimization Algorithm for Assembly Sequence Planning

Assembly sequence planning (ASP) is a combinatorial optimization problem in which the order for each part and subassembly is determined. This order is then incorporated into an incrementally expanding subassembly and eventually results in a final assembly. To address this problem, we propose an improved cat swarm optimization (CSO) algorithm and redefine some basic CSO concepts and operations a...

متن کامل

Cat swarm optimization for solving the open shop scheduling problem

This paper aims to prove the efficiency of an adapted computationally intelligence-based behavior of cats called the cat swarm optimization algorithm, that solves the open shop scheduling problem, classified as NP-hard which its importance appears in several industrial and manufacturing applications. The cat swarm optimization algorithm was applied to solve some benchmark instances from the lit...

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: Asian Journal of Research in Computer Science

سال: 2021

ISSN: ['2581-8260']

DOI: https://doi.org/10.9734/ajrcos/2021/v10i230237