Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and
self-organized swarms. The well known examples for these swarms are bird flocks, fish …

The optimization problems are becoming more complicated, requiring new and efficient
optimization techniques to solve them. Many bio-inspired meta-heuristic algorithms have …

Most of the optimization problems encountered in the real world are discrete type which
involves decision variables defined in the discrete search space. Binary optimization …

In recent years, swarm intelligence has proven its importance for the solution of those
problems that cannot be easily dealt with classical mathematical techniques. The foraging …

Abstract The Artificial Bee Colony (ABC) algorithm is a swarm intelligence approach which
has initially been proposed to solve optimisation of mathematical test functions with a unique …

The investigation of retaining wall structures behavior under dynamic loads is considered as
one of important parts for designing such structures. Generally, the performance of these …

Artificial bee colony (ABC) algorithm represents one of the most-studied swarm intelligence
algorithms. Since the original ABC has been found to be very effective, today there are a lot …

Abstract The Journal of Applied Soft Computing (ASOC) is a highly reputed journal in the
field of engineering and computer science. This study reviews the ASOC publications during …

With advanced information technologies and industrial intelligence, Industry 4.0 has been
witnessing a large scale digital transformation. Intelligent transportation plays an important …

Having tremendous promising impact on society, the Internet of Things refers to the
connection of millions of worldwide devices to communicate and exchange data, which …