Continuous versions of firefly algorithm: a review

SL Tilahun, JMT Ngnotchouye… - Artificial Intelligence …, 2019 - Springer
Firefly algorithm is a swarm based metaheuristic algorithm designed for continuous
optimization problems. It works by following better solutions and also with a random search …

A review and comparative study of firefly algorithm and its modified versions

WA Khan, NN Hamadneh, SL Tilahun… - Optimization …, 2016 - books.google.com
Firefly algorithm is one of the well-known swarm-based algorithms which gained popularity
within a short time and has different applications. It is easy to understand and implement …

Supervised learning perspective in logic mining

MSM Kasihmuddin, SZM Jamaludin, MA Mansor… - Mathematics, 2022 - mdpi.com
Creating optimal logic mining is strongly dependent on how the learning data are structured.
Without optimal data structure, intelligence systems integrated into logic mining, such as an …

Firefly algorithm for discrete optimization problems: A survey

SL Tilahun, JMT Ngnotchouye - KSCE Journal of civil Engineering, 2017 - Springer
Firefly algorithm is a nature-inspired metaheuristic algorithm inspired by the flashing
behavior of fireflies. It is originally proposed for continuous problems. However, due to its …

Election Algorithm for Random k Satisfiability in the Hopfield Neural Network

S Sathasivam, MA Mansor, MSM Kasihmuddin… - Processes, 2020 - mdpi.com
Election Algorithm (EA) is a novel variant of the socio-political metaheuristic algorithm,
inspired by the presidential election model conducted globally. In this research, we will …

[PDF][PDF] Discrete Hopfield neural network in restricted maximum k-satisfiability logic programming

MSM Kasihmuddin, MA Mansor, S Sathasivam - Sains Malaysiana, 2018 - ukm.edu.my
ABSTRACT Maximum k-Satisfiability (MAX-kSAT) consists of the most consistent
interpretation that generate the maximum number of satisfied clauses. MAX-kSAT is an …

Examining the forecasting movement of palm oil price using RBFNN-2SATRA metaheuristic algorithms for logic mining

SAS Alzaeemi, S Sathasivam - IEEE Access, 2021 - ieeexplore.ieee.org
RBFNN with different algorithms and the logic mining method for forecasting constitute the
most significant tools and techniques, which are used to demonstrate the economic growth …

Satisfiability logic analysis via radial basis function neural network with artificial bee colony algorithm

MSBM Kasihmuddin, MAB Mansor… - 2021 - reunir.unir.net
Radial Basis Function Neural Network (RBFNN) is a variant of artificial neural network
(ANN) paradigm, utilized in a plethora of fields of studies such as engineering, technology …

Application of radial basis function neural network coupling particle swarm optimization algorithm to classification of Saudi Arabia stock returns

KA Rashedi, MT Ismail, NN Hamadneh… - Journal of …, 2021 - Wiley Online Library
Artificial intelligence (AI) based business process optimization has a significant impact on a
country's economic development. We argue that the use of artificial neural networks in …

Systematic boolean satisfiability programming in radial basis function neural network

MA Mansor, SZ Mohd Jamaludin… - Processes, 2020 - mdpi.com
Radial Basis Function Neural Network (RBFNN) is a class of Artificial Neural Network (ANN)
that contains hidden layer processing units (neurons) with nonlinear, radially symmetric …