Search Results - (( based applications drops algorithm ) OR ( basic evolution optimization algorithm ))
Search alternatives:
- evolution optimization »
- based applications »
- applications drops »
- basic evolution »
-
1
Comparison between Lamarckian Evolution and Baldwin Evolution of neural network
Published 2006“…We presented hybrid genetic algorithm for optimizing weights as well as the topology of artificial neural networks, by introducing the concepts of Lamarckian and Baldwin evolution effects. …”
Get full text
Get full text
Get full text
Article -
2
Heat exchanger network optimization using differential evolution with stream splitting
Published 2014“…This article introduces a new strategy for HEN optimization using differential evolution algorithm. …”
Get full text
Get full text
Article -
3
Multiple Objective Optimization of Green Logistics Using Cuckoo Searching Algorithm
Published 2016“…Basically, Cuckoo searching algorithm imitates the natural evolution of a population with initial solutions. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
4
Optimal selection of location, sizing and power factor for solar PV plants using differential evolution
Published 2023Conference Paper -
5
Finding minimum path by using Genetic Algorithm (GA)/ Siti Zuraifah Hashim
Published 2007“…It makes use of three basic operations in order to optimize this problem. …”
Get full text
Get full text
Thesis -
6
Quality of service and energy efficient aware (QEEA) scheduling algorithm for long term evolution (LTE) network / Nurulanis Mohd Yusoff
Published 2017“…The proposed algorithm is compared against other scheduling algorithms, namely, the Channel and QoS Aware (CQA), Priority Set Scheduler (PSS), Proportional Fair (PF), Maximum Throughput (MT) and Blind Average Throughput (BAT). …”
Get full text
Get full text
Thesis -
7
Intelligent examination timetabling system using hybrid intelligent water drops algorithm
Published 2015Get full text
Get full text
Get full text
Conference or Workshop Item -
8
Gradient-based mutation manta ray foraging optimization (gbm-mrfo) for solving constrained real-world problems
Published 2022“…GbM-MRFO turn out to be a competitive optimization algorithm on solving constrained optimization problem of Three-bar Truss problem. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
9
-
10
-
11
Neighbour-based on-demand routing algorithms for mobile ad hoc networks
Published 2017“…The dropping decision of the redundant RREQ in the NCPR algorithm completely relies on preset variables, such variables require to be set by the system administrator based on the scenario. …”
Get full text
Get full text
Get full text
Thesis -
12
Rain streak removal using emboss and spatial-temporal depth filtering technique in video keyframes
Published 2012“…The filter algorithm is based on an enhanced harmonic mean filter algorithm. …”
Get full text
Get full text
Thesis -
13
-
14
On determination of input parameters of the mass transfer process by fuzzy approach.
Published 2005“…This is an extension of the work done on the mass transfer process of a single drop in single stage RDC column. The algorithm is based on fuzzy approach and the assumptions made in mass transfer process as adopted in previous work are also being used. …”
Get full text
Get full text
Get full text
Article -
15
-
16
-
17
-
18
Vehicle pick-up and drop-off schedule optimization in a university setting
Published 2024Get full text
Get full text
Final Year Project / Dissertation / Thesis -
19
Immune-based technique for undergraduate programmes recommendation / Muhammad Azrill Mohd Zamri
Published 2017“…The right determination of an undergraduate programme selection by applicants is not an easy task. Some applicants who enrolled for unsuitable programme ended up failed to progress or dropped out from the programme. …”
Get full text
Get full text
Thesis -
20
Towards enhanced remaining useful life prediction of lithium-ion batteries with uncertainty using optimized deep learning algorithm
Published 2025“…In addition, to validate the prediction performance of the proposed LSA + LSTM model, extensive comparisons are performed with other popular optimization-based deep learning methods including artificial bee colony (ABC) based LSTM (ABC + LSTM), gravitational search algorithm (GSA) based LSTM (GSA + LSTM), and particle swarm optimization (PSO) based LSTM (PSO + LSTM) model using different error matrices. …”
Article
