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 …
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 …
within a short time and has different applications. It is easy to understand and implement …
Supervised learning perspective in logic mining
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 …
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 …
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
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 …
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
ABSTRACT Maximum k-Satisfiability (MAX-kSAT) consists of the most consistent
interpretation that generate the maximum number of satisfied clauses. MAX-kSAT is an …
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 …
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 …
(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 …
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 …
that contains hidden layer processing units (neurons) with nonlinear, radially symmetric …