Many swarm optimization algorithms have been introduced since the early 60's,
Evolutionary Programming to the most recent, Grey Wolf Optimization. All of these algorithms …

Evolutionary algorithms (EAs) are robust stochastic optimisers that perform well over a wide
range of problems. Their robustness, however, may be affected by several adjustable …

The use of Unmanned Aerial Vehicles (UAVs) in delivery logistics has become an efficient
solution with the advancement of autonomous robotics. This paper proposes a novel …

Nowadays it is becoming more and more attractive to execute workflow applications in the
cloud because it enables workflow applications to use computing resources on demand …

This article presented a parallel cooperative hybrid algorithm for solving traveling salesman
problem. Although heuristic approaches and hybrid methods obtain good results in solving …

Wireless Sensor Networks (WSNs) are a type of self-organizing networks with limited energy
supply and communication ability. One of the most crucial issues in WSNs is to use an …

Identifying students' learning styles has several benefits such as making students aware of
their strengths and weaknesses when it comes to learning and the possibility to personalize …

Nowadays data-intensive applications for processing big data are being hosted in the cloud.
Since the cloud environment provides virtualized resources for computation, and data …

For the DNA microarray datasets, tumor classification based on gene expression profiles
has drawn great attention, and gene selection plays a significant role in improving the …

Ant colony optimization (ACO) algorithm is a meta-heuristic and reinforcement learning
algorithm, which has been widely applied to solve various optimization problems. The key to …