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 …

Nuclear industry is in crisis and innovation is the central theme of its survival in future.
Artificial intelligence has made a quantum leap in last few years. This paper …

This study proposes a novel learning scheme for the kernel extreme learning machine
(KELM) based on the chaotic moth-flame optimization (CMFO) strategy. In the proposed …

Abstract Artificial Bee Colony (ABC) is a Swarm Intelligence algorithm that has obtained
meta-heuristic researchers' attention and favor over recent years. It comprises good balance …

Nuclear reactor fuel reloading optimization is a hot issue in the field of nuclear engineering.
With the reasonable rearrangement of fuel assemblies in a reactor core, the nuclear fuel …

A Classifier Ensemble combines a finite number of classifiers of same kind or different,
trained simultaneously for a common classification task. The Ensemble efficiently improves …

This work aims on the development of a FORTRAN 90 code to solve the Loading Pattern
Optimization Problem (LPOP) in the IEA-R1 research reactor at the Nuclear and Energy …

The small modular reactor tends to drive down the price of electricity and heat, installed far
from the national power grid. In order to provide the active power balance in small networks …

This research deals with a cascade design method using artificial bee colony algorithm to
find multicomponent mixture separation cascade optimal parameters. Therefore, the real …

In recent years large number of algorithms based on the swarm intelligence has been
proposed by various researchers. The Artificial Bee Colony (ABC) algorithm is one of most …