Search Results - (( using functional forms algorithm ) OR ( simulation optimization based algorithm ))
Search alternatives:
- using functional »
- functional forms »
- forms algorithm »
-
1
A multiobjective simulated Kalman filter optimization algorithm
Published 2018“…This paper presents a new multiobjective type optimization algorithm known as a Multiobjective Optimization Simulated Kalman Filter (MOSKF). …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
2
Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions
Published 2018“…The BOGS-BAT algorithm is based on three techniques. The first technique is to move or switch solution from single function to functions that contain more than one objective functions. …”
Get full text
Get full text
Thesis -
3
Development of a Bioinspired optimization algorithm for the automatic generation of multiple distinct behaviors in simulated mobile robots
Published 2006“…The ANN acts as a controller for radio frequency (RF)-Iocalization behavior of a Khepera robot simulated in a 3D physics-based environment. A fitness function has been created from the preliminary experiment with optimized two conflicting objectives: (1) maximize the virtual Khepera robot's behavior for homing towards a RF signal source and (2) minimize the number of hidden neurons used in its ANNs controller by the utilization of Pareto-frontier Differential Evolutionary Multi-objective (POE) algorithm. …”
Get full text
Get full text
Research Report -
4
-
5
-
6
WCDMA teletraffic performance improvement via power resource optimization using distributed parallel genetic algorithm
Published 2023“…The algorithm works by finding the minimum transmitter power with the help of Distributed Parallel Genetic Algorithm (DPGA) employed on an offload microcontroller system to form optimal beam coverage to reduce power usage of adaptive antenna at WCDMA base station. …”
Conference paper -
7
A Kalman-Filter-Based Sine-Cosine Algorithm
Published 2019“…SKF is a random based optimization algorithm inspired from the Kalman Filter theory. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
8
Firefly analytical hierarchy algorithm for optimal allocation and sizing of distributed generation in radial distribution network
Published 2022“…Finally, an AHP was integrated with FA to form Firefly Analytical Hierarchy Algorithm (FAHA) to automatically calculate the weight of each objective function based on the load flow outputs followed by the optimisation process. …”
Get full text
Get full text
Get full text
Thesis -
9
Design and implementation of an optimal fuzzy logic controller using genetic algorithm
Published 2008“…Said approach was first simulated using MATLAB/SIMULINK using the techniques of Proportional Derivative Fuzzy Logic Controller (PD-FLC) whose membership function, fuzzy logic rules and scaling gains were optimized by the genetic algorithm technique. …”
Get full text
Get full text
Get full text
Article -
10
-
11
Modeling the powder compaction process using the finite element method and inverse optimization
Published 2011“…The objective function is formed, based on the discrepancy in density data between the numerical model prediction and the experiment. …”
Get full text
Get full text
Get full text
Article -
12
An intelligent framework for modelling and active vibration control of flexible structures
Published 2004“…The second controller design strategy is based on a cost function optimization using GAS. …”
Get full text
Get full text
Get full text
Thesis -
13
Evaluation of lightning return stroke current using measured electromagnetic fields
Published 2012“…This research proposed an inverse procedure algorithm using the proposed general fields’ expressions and the particle swarm optimization algorithm (PSO) in the time domain where the full channel base current wave shape in time domain can be determined. …”
Get full text
Get full text
Thesis -
14
Neural Network – A Black Box Model
Published 2024“…A variety of metaheuristic algorithms have been used to train ANN, including Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Simulated Annealing (SA), Ant Colony Optimization (ACO), Tabu Search (TS), and Harmony Search (HS). …”
Get full text
Get full text
Get full text
Book Chapter -
15
Optimised multi-robot path planning via smooth trajectory generation
Published 2024“…A MPSO algorithm, without path smoothening, is used for comparison. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
16
Antenna design using left-handed materials
Published 2008“…In addition, the system performs sidelobe cancellation base on the chebyshev algorithm to optimize the antenna radiation pattern. …”
Get full text
Get full text
Get full text
Monograph -
17
The nonlinear elastic and viscoelastic passive properties of left ventricular papillary muscle of a guinea pig heart
Published 2012“…The in vitro passive mechanical properties are good initial values to start running the biosimulation codes for heart mechanics. However, an optimization algorithm is developed, based on clinical intact heart measurements, to estimate and re-correct the material parameters in order to get the in vivo mechanical properties, needed for very accurate bio-simulation and for the development of new materials for the artificial heart.…”
Get full text
Article -
18
Optimized fuzzy logic sliding mode control with proportional-integral-derivative for an electrohydraulic actuator system
Published 2023“…The proposed control strategy was designed with the switching function modification based on an FL approach in the conventional SMC algorithm called FLSMC. …”
Get full text
Get full text
Get full text
Thesis -
19
Antenna design using left-handed materials
Published 2008“…In addition, the system performs sidelobe cancellation base on the chebyshev algorithm to optimize the antenna radiation pattern. …”
Get full text
Get full text
Get full text
Monograph -
20
Optimization of hydropower reservoir system using genetic algorithm for various climatic scenarios
Published 2015“…In order to increase the system efficiency and maximize the power generation, constructed operation models were optimized. To determine the optimum solution in each policy, real coded genetic algorithm is used as an optimization technique. …”
Get full text
Get full text
Get full text
Thesis
