Search Results - (("different estimation algorithm") OR ("different optimization algorithm"))
Search alternatives:
- "different optimization algorithm" »
- "different estimation algorithm" »
-
1
A novel Master–Slave optimization algorithm for generating an optimal release policy in case of reservoir operation
Published 2019“…First, three different optimization algorithms, namely particle swarm optimization, differential evolution, and whale optimization algorithm, have been applied. …”
Get full text
Get full text
Article -
2
Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance
Published 2019“…The three different optimization algorithms used in this study are the genetic algorithm (GA), particle swarm optimization (PSO) algorithm and shark machine learning algorithm (SMLA). …”
Get full text
Get full text
Article -
3
Solution of optimal power flow using non-dominated sorting multi-objective based hybrid firefly and particle swarm optimization algorithm
Published 2020“…Simulation results were also compared with non-dominated sorting based multi-objective particle swarm optimization (MOPSO) and different optimization algorithms reported in the current literature. …”
Get full text
Get full text
Article -
4
Modelling and optimization of assembly line balancing with multi-resource constraints
Published 2013“…The optimization was conducted by using different optimization algorithms. In SALB, we found that the Elitist Non-Dominated Sorting Genetic Algorithm (NSGA-II) have better performance. …”
Get full text
Get full text
Research Book Profile -
5
An optimized multi-layer ensemble framework for sentiment analysis
Published 2019“…Future works includes testing the framework on different domains of classification and different optimization algorithm.…”
Get full text
Get full text
Get full text
Conference or Workshop Item -
6
Multi-objective constrained algorithm (MCA) and non-dominated sorting genetic algorithm (NSGA-ii) for solving multi-objective crop planning problem
Published 2016“…In this paper, we formulate a crop planning problem as a multiobjective optimization model and try to solve two different versions of the problem using two different optimization algorithms MCA and NSGA. In this two algorithms, they provide superior solutions to maximize total net benefit and minimize total cost. …”
Get full text
Get full text
Get full text
Get full text
Article -
7
Ant colony optimization algorithm for dynamic scheduling of jobs in computational grid
Published 2012“…Job scheduling problem is classified as an NP-hard problem.Such a problem can be solved only by using approximate algorithms such as heuristic and meta-heuristic algorithms.Among different optimization algorithms for job scheduling, ant colony system algorithm is a popular meta-heuristic algorithm which has the ability to solve different types of NP-hard problems.However, ant colony system algorithm has a deficiency in its heuristic function which affects the algorithm behavior in terms of finding the shortest connection between edges.This research focuses on a new heuristic function where information about recent ants’ discoveries has been considered.The new heuristic function has been integrated into the classical ant colony system algorithm.Furthermore, the enhanced algorithm has been implemented to solve the travelling salesman problem as well as in scheduling of jobs in computational grid.A simulator with dynamic environment feature to mimic real life application has been development to validate the proposed enhanced ant colony system algorithm. …”
Get full text
Get full text
Monograph -
8
Modelling of Assembly Sequence Planning Problem using Base Part Concept
Published 2018“…Recently, various research works have been done to optimize the ASP problem using different optimization algorithms. Besides the algorithm efficiency, another factor that directly contributed to the quality of the solution is how the problem is modelled. …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
9
Modelling of assembly sequence planning problem using base part concept
Published 2018“…Recently, various research works have been done to optimize the ASP problem using different optimization algorithms. Besides the algorithm efficiency, another factor that directly contributed to the quality of the solution is how the problem is modelled. …”
Get full text
Get full text
Get full text
Article -
10
Performance evaluation of PID controller optimisation for wheel mobile robot using Bat based optimisation algorithm
Published 2022“…In this study, a new proposed hybrid optimization algorithm, called Extended Bat Algorithm (EBA) is used for optimizing the PID controller for the wheel mobile robot. Three different optimization algorithms which are Bat Algorithm (BA), Bat Algorithm with Mutation (BAM) and Extended Bat Algorithm (EBA) are implemented to optimize the value of PID controller gain for wheel mobile robot. …”
Get full text
Get full text
Book Chapter -
11
A Review on energy consumption optimization techniques in IoT based smart building environments
Published 2019“…Researchers have addressed the issue with the help of different optimization algorithms and variations in the parameters to reduce energy consumption. …”
Get full text
Get full text
Get full text
Get full text
Article -
12
Enhancing three variants of harmony search algorithm for continuous optimization problems
Published 2021“…Meanwhile, opposition-based learning (OBL), is an effective technique used to improve the performance of different optimization algorithms, including HS. In this work, we adopted a new improved version of OBL, to improve three variants of Harmony Search, by increasing the convergence rate speed of these variants and improving overall performance. …”
Get full text
Get full text
Get full text
Article -
13
Accelerated black hole optimization algorithm with enhanced FOPID controller for omni-wheel drive mobile robot system
Published 2025“…To optimize controller performance, six different optimization algorithms are compared are Accelerated Convergence Black Hole Optimization (ACBHO), Black Hole Optimization (BHO), Aquila Optimizer (AO), Hybrid Firefly Particle Swarm Optimization (HFPSO), Enhanced JAYA (EJAYA), and Sunflower Optimizer (SFO). …”
Get full text
Get full text
Get full text
Article -
14
A review on energy consumption optimization techniques in IoT based smart building environment
Published 2019“…Researchers have addressed the issue with the help of different optimization algorithm and variations in the parameters to reduce energy consumption. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
15
A hybrid bat–swarm algorithm for optimizing dam and reservoir operation
Published 2019“…In addition, different optimization algorithms from previous studies are investigated to compare the performance of the proposed algorithm with existing algorithms for the same case study. …”
Get full text
Get full text
Article -
16
Modelling and optimization of assembly line balancing with multi-resource constraints
Published 2017“…The optimization was conducted by using different optimization algorithms. In SALB, we found that the Elitist Non-Dominated Sorting Genetic Algorithm (NSGA-II) have better performance. …”
Get full text
Get full text
Research Report -
17
Bayesian Framework based Brain Source Localization Using High SNR EEG Data
Published 2019“…These sources can be localized using different optimization algorithms. This localization information is usable for diagnoses of brain disorders such as epilepsy, Schizophrenia, depression and Alzheimer. …”
Get full text
Get full text
Conference or Workshop Item -
18
Impact of optimizer on the MLP-based models for student performance classification
Published 2025“…This study investigates the impact of different optimization algorithms on Multi-Layer Perceptron (MLP) models for student performance forecasting, utilizing a dataset of 99 student samples. …”
Get full text
Get full text
Get full text
Article -
19
-
20
Flood Routing in River Reaches Using a Three-Parameter Muskingum Model Coupled with an Improved Bat Algorithm
Published 2018“…Seven performance indexes were examined to evaluate the performance of the proposed Muskingum model integrated with IBA, with other models that were also based on the Muskingum Model with three-parameters but utilized different optimization algorithms. The results for the Wilson flood showed that the proposed model could reduce the Sum of Squared Deviations (SSD) value by 89%, 51%, 93%, 69%, and 88%, compared to the Genetic Algorithm (GA), Particle Swarm Optimization (PSO) algorithm, Pattern Search (PS) algorithm, Harmony Search (HS) algorithm, and Honey Bee Mating Optimization (HBMO), respectively. …”
Get full text
Get full text
Article
