Multiswarm Artificial Bee Colony algorithm based on spark cloud computing platform for medical image registration

A survey on the studies employing machine learning (ML) for enhancing artificial bee colony (ABC) optimization algorithm

“…The clustering technique in the proposed method helps to provide diversity. Wen et al (2020) proposed a multiswarm ABC (MS-ABC) multi-objective optimization algorithm based on clustering calculation and showed that the MS-ABC algorithm exhibitsvery good performance in medical image registration. Gao et al (2015) presented an ABC algorithm based on information learning (ILABC).…”

An adaptive registration algorithm for zebrafish larval brain images

“…The design of the CNN architecture is patch-based to allow the network to learn from the input patch pairs to their corresponding displacement fields. In [37], a multi-objective optimization algorithm based on clustering calculation has been used to perform medial image registration tests. In [42], the technique performs end-to-end training from image pairs to learn priors over geometric transformations and regularities of the 3D world.…”

Parallel and Distributed Implementation of Sine Cosine Algorithm on Apache Spark Platform

“…Different meta-heuristic algorithms were parallelized using Spark framework demonstrating good performance for large scale problems. At the present time, traditional meta-heuristics such as GA [23], PSO [24], ACO [25], tabu search (TS) [26] as well as more recent ones such as whale optimization [27] and scatter search [28] have been successfully parallelized using Spark platform. However, a Spark based parallelization of SCA is yet to be implemented which is the topic of this work.…”