Search Results - (( data implementation mining algorithm ) OR ( evolution optimization modified algorithm ))
Search alternatives:
- evolution optimization »
- implementation mining »
- optimization modified »
- data implementation »
- mining algorithm »
-
1
A new modified differential evolution algorithm scheme-based linear frequency modulation radar signal de-noising
Published 2015“…A modified crossover scheme called rand-length crossover was designed to fit the proposed variable-length DE, and the new DE algorithm is referred to as the random variable-length crossover differential evolution (rvlx-DE) algorithm. …”
Get full text
Get full text
Article -
2
Application of swarm intelligence optimization on bio-process problems / Mohamad Zihin Mohd Zain
Published 2018“…This modified algorithm called Modified Multi-Objective Particle Swarm Optimization (M-MOPSO) employs a fixed-sized external archive along with a dynamic boundary-based search mechanism to evolve the population. …”
Get full text
Get full text
Thesis -
3
A refined differential evolution algorithm for improving the performance of optimization process
Published 2011“…Various Artificial Intelligent (AI) algorithms can be applied in solving optimization problems. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
4
Improved chemotaxis differential evolution optimization algorithm
Published 2015“…The social foraging behavior of Escherichia coli has recently received great attention and it has been employed to solve complex search optimization problems.This paper presents a modified bacterial foraging optimization BFO algorithm, ICDEOA (Improved Chemotaxis Differential Evolution Optimization Algorithm), to cope with premature convergence of reproduction operator.In ICDEOA, reproduction operator of BFOA is replaced with probabilistic reposition operator to enhance the intensification and the diversification of the search space.ICDEOA was compared with state-of-the-art DE and non-DE variants on 7 numerical functions of the 2014 Congress on Evolutionary Computation (CEC 2014). …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
5
Broadening selection competitive constraint handling algorithm for faster convergence
Published 2020“…In this study, the BSCCH algorithm has been coupled with Differential Evolution algorithm as a proof of concept because it is found to be an efficient algorithm in the literature for constrained optimization problems. …”
Get full text
Get full text
Article -
6
Direct approach for mining association rules from structured XML data
Published 2012“…It searches for similarities among large database. “Web mining” refer to how we can apply the traditional mining techniques that works on relational data and bind it to new data input represented in XML data which might be semi structure or unstructured. …”
Get full text
Get full text
Thesis -
7
Web usage mining for UUM learning care using association rules
Published 2004“…With the powerful of data mining technique, Web usage mining approach has been combined with the basic Association Rules, Apriori Algorithm to optimize the content of the university E�Learning portal. …”
Get full text
Get full text
Thesis -
8
Medical diagnosis using data mining techniques / Shaiful Nizam Zamri
Published 2003“…Then, the system implementation part explains the selected tools chosen for implementing the system which using the Clementine Data Mining Solution. …”
Get full text
Get full text
Thesis -
9
Web Usage Mining for UUM Learning Care Using Association Rules
Published 2004“…The enormous of information on the World Wide Web makes it obvious candidate for data mining research. Application of data mining techniques to the World Wide Web referred as Web mining where this term has been used in three distint ways; Web Content Mining, Web Structure Mining and Web Usage Mining. …”
Get full text
Get full text
Get full text
Thesis -
10
Multiple Objective Optimization of Green Logistics Using Cuckoo Searching Algorithm
Published 2016“…In this paper, a modified Cuckoo searching algorithm is proposed to solve the multiple objective Green Logistics optimization problem. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
11
Comparative study of apriori-variant algorithms
Published 2016“…One of data mining methods is frequent itemset mining that has been implemented in real world applications, such as identifying buying patterns in grocery and online customers’ behavior.Apriori is a classical algorithm in frequent itemset mining, that able to discover large number or itemset with a certain threshold value. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
12
Discovering association rules for mining images datasets: a proposal
Published 2005“…The Author present a data mining algorithm to find association rules in 2-dimensional colour images. …”
Get full text
Get full text
Conference or Workshop Item -
13
Self-configured link adaptation using channel quality indicator-modulation and coding scheme mapping with partial feedback for green long-term evolution cellular systems
Published 2015“…To achieve this objective, an iterative approach based on swarm intelligence is used to find the optimal CQI threshold at which the competing criteria are optimized. …”
Get full text
Get full text
Thesis -
14
A centralized localization algorithm for prolonging the lifetime of wireless sensor networks using particle swarm optimization in the existence of obstacles
Published 2017“…So, the travelling distance, power consumption and lifetime of the network will be calculated in both cases for original algorithm and modified algorithm, which is a modified deployment algorithm, and compared between them. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
15
A multi-objective particle swarm optimization algorithm based on dynamic boundary search for constrained optimization
Published 2018“…M-MOPSO is compared with four other algorithms namely, MOPSO, Multi-Objective Grey Wolf Optimizer (MOGWO), Multi-Objective Evolutionary Algorithm based on Decompositions (MOEA/D) and Multi-Objective Differential Evolution (MODE). …”
Get full text
Get full text
Article -
16
-
17
RARE: mining colossal closed itemset in high dimensional data
Published 2018“…With that, this paper investigated the strategies implemented in both row and column enumerationbased algorithms, hence proposing the RARE; a breadth-first bottom-up row-enumeration algorithm, in mining colossal closed itemsets in high-dimensional data…”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
18
Autotuning PID Controllers for Quadplane Hybrid UAV using Differential Evolution Algorithm
Published 2024“…By iteratively modifying the control settings to achieve optimal performance, the DE algorithm replaces the requirement for manual PID tuning, which can be time-consuming and suboptimal. …”
Get full text
Get full text
Get full text
Article -
19
Data mining techniques for transformer failure prediction model: A systematic literature review
Published 2023Conference Paper -
20
Frequent Lexicographic Algorithm for Mining Association Rules
Published 2005“…Association rule mining is one of the data mining techniques which discovers strong association or correlation relationships among data. …”
Get full text
Get full text
Thesis
