Search Results - (( using function method algorithm ) OR ( _ application optimisation algorithm ))
Search alternatives:
- application optimisation »
- optimisation algorithm »
- method algorithm »
- function method »
- using function »
-
1
Bees algorithm enhanced with Nelder and Mead method for numerical function optimisation
Published 2019“…The performance of the proposed algorithm was tested on a set of seventeen well-known benchmark functions. …”
Get full text
Get full text
Get full text
Get full text
Article -
2
The fusion of particle swarm optimization (PSO) and interior point method (IPM) as cooperative movement control algorithm in Swarm Robotics / Dada Emmanuel Gbenga
Published 2016“…Also, many of these PSO algorithms employed hybrid methods that integrate other optimisation algorithms with the standard PSO. …”
Get full text
Get full text
Thesis -
3
Optimization Of Pid Controller Using Grey Wolf Optimzer And Dragonfly Algorithm
Published 2018“…In this research, swarming intelligence is used to solve optimisation problem. Grey Wolf Optimizer and Dragonfly Algorithm were chosen. …”
Get full text
Get full text
Monograph -
4
Bats echolocation-inspired algorithms for global optimisation problems
Published 2016“…The algorithm is a hybrid algorithm that operates using dual level search strategy that takes merits of a particle swarm optimisation algorithm and a modified adaptive bats sonar algorithm. …”
Get full text
Get full text
Thesis -
5
Firefly analytical hierarchy algorithm for optimal allocation and sizing of distributed generation in radial distribution network
Published 2022“…As for multi-objective functions associated with the optimisation problem, a weight-sum method is typically used to determine each objective function's coefficient factors (CF). …”
Get full text
Get full text
Get full text
Get full text
Thesis -
6
Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems
Published 2010“…Most of the current methods of crossover determine o®spring by using a stochastic approach and without reference to the objective function with the result being that a potentially optimal solution could be lost through incorrect choices being made in the randomisation process. …”
Get full text
Get full text
Thesis -
7
Curve Reconstruction By Metaheuristics Algorithms On Cubic Rational Bézier Function
Published 2019“…Various of curve fitting studies had been done by many researchers specifically using optimisation technique. The optimisation technique consists of exact algorithm, and approximate algorithm. …”
Get full text
Get full text
Thesis -
8
An improvement of back propagation algorithm using halley third order optimisation method for classification problems
Published 2020“…This algorithm utilises first order optimisation method namely Gradient Descent (GD) method which attempts to minimise the error of network. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
9
-
10
Application of adaptive bats sonar algorithm to minimise car side impact design
Published 2017“…The best objective function was compared with the existing results of other swarm intelligence algorithms. …”
Get full text
Get full text
Get full text
Undergraduates Project Papers -
11
Modelling of optimal placement and sizing of battery energy storage system using hybrid whale optimization algorithm and artificial immune system for total system losses reduct...
Published 2023“…Having those said, this study proposes BESS optimisation to reduce the total system losses using modified Whale Optimisation Algorithm (WOA) with high exploration and exploitation features. …”
text::Thesis -
12
Modelling of biogas production process with evolutionary artificial neural network and genetic algorithm
Published 2017“…The model output optimisation by genetic algorithm (GA) produces higher biogas production compared to the optimisation using statistical methods. …”
Get full text
Get full text
Thesis -
13
Design of low order quantitative feedback theory and H-infinity-based controllers using particle swarm optimisation for a pneumatic actuator system
Published 2010“…The method uses particle swarm optimization (PSO) to tune the controller and performance weighting function parameters by minimizing a cost function subject to -norm specifications. …”
Get full text
Get full text
Thesis -
14
Application of a primal-dual interior point algorithm using exact second order information with a novel non-monotone line search method to generally constrained minimax optimizatio...
Published 2008“…The algorithm differs significantly from previous approaches as it involves a novel non-monotone line search procedure, which is based on the use of standard penalty methods as the merit function used for line search. …”
Get full text
Get full text
Get full text
Article -
15
Gps solution for active queue management using android platform
Published 2021“…Since queueing in different locations is considered as a optimisation problem, several algorithms are reviewed to tackle the problem, such as brute force method, nearest neighbour algorithm, and branch and bound algorithm. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
16
Optimisation of vehicle front-end geometry for adult and pediatric pedestrian protection
Published 2014“…Optimised front-end geometries are obtained using the Genetic Algorithm method. …”
Get full text
Get full text
Get full text
Get full text
Article -
17
Selective harmonic elimination in multilevel inverter using hybrid APSO algorithm
Published 2018“…In the proposed method, ring topology-based APSO algorithm is hybrid with NR method. …”
Get full text
Get full text
Article -
18
-
19
Harmony Search Approach In The Strut And Tie Model To Optimise The Stress Distribution In A Concrete Box Girder
Published 2021“…Optimisation using metaheuristic algorithm could provide an alternative for more efficien t STM construction. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
20
A hyper-heuristic based strategy for image segmentation using multilevel thresholding
Published 2025“…Experimental results of the proposed strategy are compared with other advanced meta-heuristic algorithms using the Otsu and Kapur fitness functions. …”
Get full text
Get full text
Get full text
Article
