Search Results - (( variable generating new algorithm ) OR ( java application reoptimize algorithm ))
Search alternatives:
- application reoptimize »
- java application »
- generating new »
- new algorithm »
- variable »
-
1
A new variable strength t-way strategy based on the cuckoo search algorithm
Published 2019“…Despite much progress, existing strategies have not sufficiently dealt with more than one interaction between input parameters (termed variable strength tway). Complementing existing works, this paper proposes a new variable strength cuckoo search algorithm, called VCS. …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
2
Seed disperser ant algorithm for optimization / Chang Wen Liang
Published 2018“…SDAA is developed using the concept of male ants performing nuptial flights to generate new superior colonies. The new colonies produce better male ants that repeat the nuptial flight cycle in following generation. …”
Get full text
Get full text
Get full text
Thesis -
3
A hybrid genetic algorithm and linear regression for prediction of NOx emission in power generation plant
Published 2023“…This paper presents a new approach of gas emission estimation in power generation plant using a hybrid Genetic Algorithm (GA) and Linear Regression (LR) (denoted as GA-LR). …”
Conference paper -
4
Augmentation of basic-line-search and quick-simplex-method algorithms to enhance linear programming computational performance
Published 2021“…Each dataset is set to 10 different problems and the result of the iteration number was as follows: first datasets; new augmentation algorithm = 2, QSM = 4, BLSA = 7, and Simplex = 13 and second datasets; new augmentation algorithm = 1, QSM = 3, BLSA = 4, and Simplex = 8.…”
Get full text
Get full text
Get full text
Thesis -
5
Message based random variable length key encryption algorithm.
Published 2009“…In order to overcome analysis mentioned above a new algorithm is designed that is based on random numbers and also can defeat time and memory constraints. …”
Get full text
Get full text
Article -
6
Fast and Accuracy Control Chart Pattern Recognition using a New cluster-k-Nearest Neighbor
Published 2009“…We ¯nd between 96% and 99.7 % of accuracy in the classi¯cation of 6 di®erent types of Time series by using K-means cluster algorithm and we ¯nd 99.7% by using the new clustering algorithm.…”
Get full text
Get full text
Citation Index Journal -
7
Fast and Accuracy Control Chart Pattern Recognition using a New cluster-k-Nearest Neighbor
Published 2008“…We ¯nd between 96% and 99.7 % of accuracy in the classi¯cation of 6 di®erent types of Time series by using K-means cluster algorithm and we ¯nd 99.7% by using the new clustering algorithm.…”
Get full text
Get full text
Citation Index Journal -
8
Adopting A Particle Swarm-Based Test Generator Strategy For Variable-Strength And T-Way Testing
Published 2011“…This thesis presents the design and implementation of a new interaction test generation strategy, known as the Particle Swarm-based Test Generator (PSTG), for generating t-way and variable-strength test suites. …”
Get full text
Get full text
Thesis -
9
A variable combinatorial test suite strategy based on modified greedy algorithm
Published 2015“…This proposed will suggest a new CIT strategy based on a modified greedy algorithm (MGA) with addressing the supporting of variable strength interaction to generate a satisfactory test suite size.…”
Get full text
Get full text
Get full text
Conference or Workshop Item -
10
Optimized differential evolution algorithm for linear frequency modulation radar signal denoising
Published 2013“…We propose an optimized crossover scheme that changes the crossover operation from being fixed-length to random-length, which has been designed to fit for the proposed variable length DE. We refer to the new DE algorithm as random variable length crossover DE (rvlx- DE) algorithm. …”
Get full text
Get full text
Thesis -
11
Dynamic Bayesian Networks and Variable Length Genetic Algorithm for Dialogue Act Recognition
Published 2007“…In the selection phase, a new variable length genetic algorithm is applied to select the lexical cues. …”
Get full text
Get full text
Thesis -
12
-
13
-
14
-
15
Fuzzy Adaptive Tuning of a Particle Swarm Optimization Algorithm for Variable-Strength Combinatorial Test Suite Generation
Published 2018“…The generation of variable strength test suites is a non-deterministic polynomial-time (NP) hard computational problem \cite{BestounKamalFuzzy2017}. …”
Get full text
Get full text
Get full text
Book Chapter -
16
Dynamic Bayesian networks and variable length genetic algorithm for designing cue-based model for dialogue act recognition
Published 2010“…In the second stage, the developed variable length genetic algorithm is used to select different sets of lexical cues to constitute the dynamic Bayesian networks' random variables. …”
Get full text
Get full text
Article -
17
-
18
Improved Variable Neighbourhood Descent (VND) to Solve Universiti Malaysia Sarawak (UNIMAS) Course Timetabling Problem
Published 2023“…In stage 2, the variable neighbourhood descent approach with new neighbourhood structures was utilised to improve the quality of the solution. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
19
Economic power dispatch solutions incorporating stochastic wind power generators by moth flow optimizer
Published 2023“…Because the field of EA is evolving, it may be necessary to reevaluate the usage of new algorithms to solve optimization problems involving power systems. …”
Get full text
Get full text
Get full text
Article -
20
An experimental study of neighbourhood based metaheuristic algorithms for test case generation satisfying the modified condition / decision coverage criterion
Published 2018“…Performance of each algorithm is compared in terms of number of test cases generated as well as the run time required. …”
Get full text
Get full text
Thesis