Abstract

Optimized Artificial Bee Colony Algorithm for Web Service Composition Problem

Highlights

  • Today, with the Internet, especially the Web, becoming the fastest growing collection of data and software programs, and service computing, cloud computing, big data and other technologies are gradually maturing

  • Artificial bee colony algorithm (ABC) is a new swarm intelligence optimization algorithm proposed by Karaboga [4]

  • We proposed a new heuristic-based optimized artificial bee colony algorithm (OABC) for service selection

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Summary

INTRODUCTION

With the Internet, especially the Web, becoming the fastest growing collection of data and software programs, and service computing, cloud computing, big data and other technologies are gradually maturing. It is not feasible to find a solution in polynomial time by some accurate methods [2], [3] In this problem, some people have proposed using swarm intelligence optimization algorithms to find the best solution. Artificial bee colony algorithm (ABC) is a new swarm intelligence optimization algorithm proposed by Karaboga [4]. This algorithm performs better in solving optimization problems [4]-[6]. We proposed a new heuristic-based optimized artificial bee colony algorithm (OABC) for service selection.

RELATED WORK
PROBLEM DESCRIPTION AND DEFINITION
ALGORITHM IMPROVEMENT
Our Proposed ABC
EXPERIMENTAL RESULT AND DISCUSSION
Results
CONCLUSION
Findings
CONFLICT OF INTEREST

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