In this article, we conducted the evaluation of artificial intelligence research from 1990–2014
by using bibliometric analysis. We introduced spatial analysis and social network analysis …

Data clustering is an important data mining technique being widely used in numerous
applications. It is a method of creating groups (clusters) of objects, in such a way that objects …

Intelligent optimization algorithms based on evolutionary and swarm principles have been
widely researched in recent years. The artificial bee colony (ABC) algorithm is an intelligent …

As a relatively recent invented swarm intelligence algorithm, artificial bee colony (ABC)
becomes popular and is powerful for solving the tough continuous optimization problems …

Job-shop scheduling problem (JSSP) is a vital combinatorial optimization problem in the
field of machine scheduling. The high complexity of JSSP is attracting researchers since the …

Swarm intelligence is regarded as the integration of mechanisms from computer science, the
artificial intelligence, and biology. Over millions of years, biological systems have solved …

This paper presents a solution methodology to solve the heterogeneous vehicle routing
problem with time windows (HVRPTW). This problem appears when a limited fleet of …

This paper presents an Artificial Bee Colony (ABC) optimization based algorithm for co-
clustering of high-dimensional data. The ABC algorithm is used for optimization problems …

Artificial bee colony (ABC) algorithm inspired by the complex behaviors of honey bees in
foraging is one of the most significant swarm intelligence-based meta-heuristics and has …

As a relatively new global optimization technique, artificial bee colony (ABC) algorithm
becomes popular in recent years for its simplicity and effectiveness. However, there is still an …