Advanced Cuckoo Search Algorithm for Optimization Problem | Zendy

Nasif Shawkat | Zendy; Shariba Islam | Zendy; Md. Arman | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Advanced Cuckoo Search Algorithm for Optimization Problem

Author(s) -

Nasif Shawkat,

Shariba Islam,

Md. Arman

Publication year - 2015

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/ijca2015907299

Subject(s) - computer science , cuckoo search , cuckoo , optimization algorithm , mathematical optimization , algorithm , mathematics , zoology , particle swarm optimization , biology

optimization tasks the most important and powerful algorithms are those which are inspired by the nature. The main goal of this work is the betterment of an existing algorithm called Cuckoo Search (CS) Algorithm. Cuckoo Search Algorithm (CS) is inspired from nature and related with Meta heuristic portion. This algorithm is based on random process and has behavior of some birds and fruit flies and some assumptions. Each assumption is highly observed to maintain their characteristics. This is a theoretical result research paper, of betterment for the Cuckoo Search (CS) Algorithm.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research