Swarm intelligence (SI), an integral part in the field of artificial intelligence, is gradually
gaining prominence, as more and more high complexity problems require solutions which …

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 …

Swarm Intelligence: Principles, Advances, and Applications delivers in-depth coverage of
bat, artificial fish swarm, firefly, cuckoo search, flower pollination, artificial bee colony, wolf …

In this paper an overview of the areas where the Bee Colony Optimization (BCO) and its
variants are applied have been given. Bee System was identified by Sato and Hagiwara in …

In the context of natural selection, organisms have evolved various excellent characteristics
that can guide improved design optimization in engineering. Scholars at home and abroad …

Expert systems have been applied to solve agricultural problems for some time. The
complexities involved in plant disease diagnosis make this problem a prime candidate for …

In this paper, an overviews of different application areas are discussed, where the Artificial
Bee Colony (ABC) optimization algorithm has applied. Artificial bee colony was introduced …

Land Readjustment and redistribution (LR) is a land management tool that helps regular
urban development with the contribution of landowners. The main purpose of LR is to …

An extensive examination of computational swarm intelligence reveals an escalating interest
in harnessing the capabilities of hybrid models and quantum-inspired algorithms with …

The idea behind this work is to solve the Shortest Common Supersequence by using
Artificial Bee Colony (ABC) Algorithm. This algorithm is considered as one of the newest …