Search Results - (( simulation optimization modified algorithm ) OR ( swarm optimization method algorithm ))
Search alternatives:
- optimization modified »
- method algorithm »
-
1
Modified Particle Swarm Optimization with Time Varying Acceleration Coefficients for Economic Load Dispatch with Generator Constraints
Published 2014“…Particle swarm optimization (PSO) is one of the famous heuristic methods for solving nonconvex problems. …”
Get full text
Get full text
Article -
2
Optimization and control of hydro generation scheduling using hybrid firefly algorithm and particle swarm optimization techniques
Published 2018“…To deal with these problems, this thesis introduces three approved intelligent controllers for hydropower generation. Firstly, a hybrid algorithm namely firefly particle swarm optimization (FPSO) and series division method (SDM) based on the practical swarm optimization and the firefly algorithm is proposed. …”
Get full text
Get full text
Thesis -
3
Comparison of mabsa, PSO and GWO of PI-PD controller for dc motor
Published 2024“…To simulate the DC motor system with a PI-PD controller that was optimized by several swarm intelligence algorithms, MATLAB/Simulink software was utilized. …”
Get full text
Get full text
Thesis -
4
Artificial Immune System Based Remainder Method for Multimodal Mathematical Function Optimization
Published 2011“…Conversely, Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) have been used efficiently in solving complex optimization problems, but they have an inclination to converge prematurely. …”
Get full text
Get full text
Get full text
Article -
5
An improved particle swarm optimization (PSO) based MPPT for PV With reduced steady-state oscillation
Published 2012“…This paper proposes an improved maximum power point tracking (MPPT) method for the photovoltaic (PV) system using a modified particle swarm optimization (PSO) algorithm. …”
Get full text
Get full text
Article -
6
Optimization of chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy
Published 2024“…Advancing multi-objective optimization techniques for cancer treatment strategies, the study strategically incorporates Swarm Intelligence (SI) and Evolutionary Algorithms (EA). …”
Get full text
Get full text
Get full text
Thesis -
7
Antibody Remainder Method Based Artificial Immune System for Mathematical Function Optimization
Published 2011“…Artificial immune system (AIS) is one of the natureinspired algorithm for solving optimization problem. In AIS, clonal selection algorithm (CSA) is able to improve global searching ability. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
8
Fuzzy clustering method and evaluation based on multi criteria decision making technique
Published 2018“…This proposed algorithm is developed based on heuristic method named modified binary particle swarm optimization (MBPSO) with kernel fuzzy clustering method as a fitness function. …”
Get full text
Get full text
Get full text
Thesis -
9
Solving the integrated inventory supply chain problems using meta-heuristic methods / Seyed Mohsen Mousavi
Published 2018“…A Modified Particle Swarm Optimization (MPSO) algorithm, a Genetic Algorithm (GA), a modified fruit fly optimization algorithm (MFOA) and a simulated annealing (SA) algorithm were used to find the optimal solution. …”
Get full text
Get full text
Get full text
Thesis -
10
Artificial immune system based remainder method for multimodal mathematical function optimization
Published 2023“…Conversely, Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) have been used efficiently in solving complex optimization problems, but they have an inclination to converge prematurely. …”
Article -
11
Modelling of multi-robot system for search and rescue
Published 2023“…One of the key aspects in multi-robot systems is the path planning problem, which involves finding collision-free paths for each robot to reach their respective destinations while optimizing various performance metrics. This report focusses on developing a novel multi-robot path planning algorithm based on the Modified Particles Swarm Optimization (MPSO) algorithm for dynamic environments. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
12
Enhanced Intelligent Water Drops Algorithm for University Examination Timetabling Problems
Published 2024“…The solution’s construction is modified using the concept of global best operator that is used in the Particle Swarm Optimization (PSO). …”
thesis::doctoral thesis -
13
Hybrid particle swarm optimization for robust digital image watermarking
Published 2011“…The novelty is to associate the Hybrid Particle Swarm Optimization (HPSO), instead of a single optimization, as a model with singular value decomposition (SVD). …”
Get full text
Get full text
Get full text
Article -
14
Intelligent Optimization Techniques for Optimal Power Flow using Interline Power Flow Controller
Published 2010“…The optimal control parameters are derived to minimize the transmission line losses employing three intelligent optimization techniques, namely Particle Swarm Optimization (PSO), Genetic Algorithm and Simulated Annealing. …”
Get full text
Get full text
Conference or Workshop Item -
15
Power quality improvement in distribution systems considering Optimum D-STATCOM placement
Published 2013“…The obtained results are compared with the particle swarm optimization and the genetic algorithm. The simulation and comparison results verify the ability of the FA to accurately determine the optimal location and size of the D-STATCOM in radial distribution systems.…”
Get full text
Get full text
Get full text
Article -
16
Parametric modelling of a TRMS using dynamic spread factor particle swarm optimisation
Published 2009“…In this paper, a sound approach for a Twin Rotor Multi-input Multi-Output System (TRMS) parametric modeling is proposed based on dynamic spread factor particle swarm optimization. Particle swarm optimization (PSO) is demonstrated as an efficient global search method for nonlinear complex systems without any a priory knowledge of the system structure. …”
Get full text
Get full text
Get full text
Proceeding Paper -
17
A green clustering protocol for mobile sensor network using particle swarm optimization
Published 2016“…In this paper, we propose a green clustering protocol for mobile sensor networks using particle swarm optimization (PSO) algorithm. We define a new fitness function that can optimize the energy consumption of the whole network and minimize the relative distance between cluster heads and their respective member nodes. …”
Get full text
Get full text
Article -
18
A green clustering protocol for mobile sensor network using particle swarm optimization
Published 2016“…In this paper, we propose a green clustering protocol for mobile sensor networks using particle swarm optimization (PSO) algorithm. We define a new fitness function that can optimize the energy consumption of the whole network and minimize the relative distance between cluster heads and their respective member nodes. …”
Get full text
Get full text
Article -
19
Optimisation of automatic generation control performance in two-area power system with pid controllers using mepso / Lu Li
Published 2018“…The performance of AGC has to be tuned properly so that the performance can be optimized. In this project, modified evolutionary particle swarm optimisation (MEPSO) -time varying acceleration coefficient (TVAC) is proposed for an AGC of two-area power system to optimize its performance by tuning parameters of the PID controllers. …”
Get full text
Get full text
Get full text
Thesis -
20
A hybrid of ant colony optimization, genetic algorithm and flux balance analysis for optimization of succinic acid production in Escherichia coli
Published 2023“…Ant colony optimization (ACO) is a swarm intelligent optimization that is inspired based on the natural foraging behavior of ant colony. …”
Get full text
Get full text
Get full text
Article
