Abstract

This work is related on two well-known algorithm, Improved Cuckoo Search and Artificial Bee Colony Algorithm which are inspired from nature. Improved Cuckoo Search (ICS) algorithm is based on Lévy flight and behavior of some birds and fruit flies and they have some assumptions and each assumption is highly observed to maintain their characteristics. Besides Artificial Bee Colony (ABC) algorithm is based on swarm intelligence, which is based on bee colony with the way the bees maintain their life in that colony. Bees’ characteristics are the main part of this algorithm. This is a theoretical result of this topic and a quantitative research paper.

Highlights

  • Beautiful nature is full of surprises and mystery

  • On the other hand In Artificial Bee Colony (ABC) a bee only finds its honey on its own place where the least and maximum capacity honey holder bees are present .If the bee fails to find honey from other sources that has the maximum capacity of honey than the bee turns back and looks for other bees that has the maximum amount of honey [22][23][24]

  • CONCLUSION a) This paper represents the comparative study between swarm intelligence base and Lévy flight behavior base algorithms the Artificial Bee Colony (ABC) algorithm [1] and the Improved Cuckoo Search (ICS) algorithm [2][3][4].Optimization results in the standard benchmark problems for Artificial Bee Colony (ABC) algorithm and Improved Cuckoo Search (ICS) algorithm exhibit the effective results and competitive results of the algorithms

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Summary

INTRODUCTION

People have learnt a lot from the Mother nature. By analyzing symptoms people manage to reveal the mystery of nature. A day’s people find solutions of their daily life problems with the help of nature and that is known as meta-heuristic solutions. The bee colony and the improved cuckoo search algorithm elevate the eco-life system in a new level. On the basis of key functions and iteration number, the comparison between Artificial Bee Colony and Improved Cuckoo Search algorithm is done. Artificial Bee Colony works on the optimization algorithm introduced by D.

Basic Ideas of Cuckoo Search
Basic Points of Cuckoo Search
Lévy Flights
Characteristics of Improved Cuckoo Search
Algorithm of ICS
Some Common Mistakes
Algorithm of ABC
FINDINGS
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