Putting continuous metaheuristics to work in binary search spaces
In the real world, there are a number of optimization problems whose search space is
restricted to take binary values; however, there are many continuous metaheuristics with …
restricted to take binary values; however, there are many continuous metaheuristics with …
Sentiment classification within online social media using whale optimization algorithm and social impact theory based optimization
In recent years, social networks have become an important part of daily life and are
becoming increasingly important. In this study, sentiment analysis or opinion mining, which …
becoming increasingly important. In this study, sentiment analysis or opinion mining, which …
Graph theoretical analysis of Alzheimer's disease: Discrimination of AD patients from healthy subjects
M Jalili - Information Sciences, 2017 - Elsevier
Tools available in graph theory have been recently applied to signals recorded from the
human brain, where its cognitive functions are linked to topological properties of connectivity …
human brain, where its cognitive functions are linked to topological properties of connectivity …
RETRACTED ARTICLE: Data mining optimization model for financial management information system based on improved genetic algorithm
W Li, Q Zhou, J Ren, S Spector - Information Systems and e-Business …, 2020 - Springer
The traditional corporate financial diagnosis method is susceptible to the choice of
accounting policies, and there are serious lags, one-sidedness and limitations. A financial …
accounting policies, and there are serious lags, one-sidedness and limitations. A financial …
[图书][B] Digital marketing strategies for fashion and luxury brands
Online shopping has become increasingly popular due to its availability and ease. As a
result, it is important for companies that sell high-end products to maintain the same …
result, it is important for companies that sell high-end products to maintain the same …
[HTML][HTML] Optimization of wood supply: the forestry routing optimization model
CAU Monti, LR Gomide, RM Oliveira… - Anais da Academia …, 2020 - SciELO Brasil
The main purpose of this paper was to present the Forestry Routing Optimization Model
(FRoM) as a version of the classical Vehicle Routing Problem (VRP). This work approaches …
(FRoM) as a version of the classical Vehicle Routing Problem (VRP). This work approaches …
A Dynamic CGE Model for Consumer Trust Mechanism within an E‐Commerce Market
C Wang - Mobile Information Systems, 2022 - Wiley Online Library
This study aims to use the computable general equilibrium (CGE) model to evaluate the
economic consequences of foreign direct online purchases on the chain economy and to …
economic consequences of foreign direct online purchases on the chain economy and to …
An opinion formation based binary optimization approach for feature selection
This paper proposed a novel optimization method based on opinion formation in complex
network systems. The proposed optimization technique mimics human–human interaction …
network systems. The proposed optimization technique mimics human–human interaction …
A global optimization approach based on opinion formation in complex networks
H Hamedmoghadam, M Jalili… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Population-based metaheuristic optimization techniques have numerous applications in
science and engineering. In this paper, we introduce a novel population-based binary …
science and engineering. In this paper, we introduce a novel population-based binary …
[PDF][PDF] Performance of intelligent optimization methods in IIR system identification problems
Intelligent optimization methods effectively explore and review the response space using
past experiences a population of search agents. These population-based techniques can …
past experiences a population of search agents. These population-based techniques can …