-
1
Plant disease detection using drones in precision agriculture
Published 2023“…Nowadays, one of the most popular approaches for this automation is to use drones. Though there are several articles published on the use of drones for plant disease detection, a systematic overview of these studies is lacking. …”
-
2
Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem
Published 2023“…This paper presents efforts to solve the multi-track measurement assignment problem in drone detection and tracking. In many cases, several radars are collectively used to track drones efficiently, generating measurements and several tracks under different circumstances. …”
Get full text
-
3
A new genetic algorithm approach for unit commitment
Published 1997“…This paper presents a new genetic algorithm approach to solve the unit commitment problem in electric power systems. …”
Get full text
Get full text
article -
4
A genetic-based algorithm for fuzzy unit commitment model
Published 2000“…The model takes the uncertainties in the forecasted load demand and the spinning reserve constraints in a fuzzy frame. The genetic algorithm (GA) approach is then used to solve the proposed fuzzy UCP model. …”
Get full text
Get full text
article -
5
Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach
Published 2006“…The search space is too large to be explored by deterministic algorithms. In this paper, a Genetic Algorithm based algorithm for synthesis of MVL functions is proposed. …”
Get full text
Get full text
article -
6
-
7
Design of PSS and STATCOM-based damping stabilizers using genetic algorithms
Published 2006“…The design problem of STATCOM-based stabilizers is formulated as an optimization problem. Then, a real-coded genetic algorithm (RCGA) is employed to search for optimal stabilizer parameters. …”
Get full text
Get full text
article -
8
Integrating genetic algorithms, tabu search, and simulatedannealing for the unit commitment problem
Published 1999“…A new implementation of the genetic algorithm is introduced. The genetic algorithm solution is coded as a mix between binary and decimal representation. …”
Get full text
Get full text
article -
9
A New Genetic-Based Tabu Search Algorithm For Unit Commitment Problem
Published 2020“…In the proposed algorithm, genetic algorithm solution is coded as a mix between binary and decimal representation. …”
Get full text
article -
10
Robust Coordinated Design of Excitation and TCSC-Based Stabilizers Using genetic algorithms
Published 2004“…The coordinated design problem of robust excitation and TCSC-based controllers over a wide range of loading conditions and system configurations is formulated as an optimization problem with an eigenvalue-based objective function. The real-coded genetic algorithm (RCGA) is employed to search for optimal controller parameters. …”
Get full text
article -
11
Integrating Genetic Algorithms, Tabu Search, And Simulated Annealing For The Unit Commitment Problem
Published 2020“…A new implementation of the genetic algorithm is introduced. The genetic algorithm solution is coded as a mix between binary and decimal representation. …”
Get full text
article -
12
Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization
Published 2024“…This paper presents a novel hybrid optimization method to solve the resource allocation problem for multi-target multi-sensor tracking of drones. This hybrid approach, the Improved Prairie Dog Optimization Algorithm (IPDOA) with the Genetic Algorithm (GA), utilizes the strengths of both algorithms to improve the overall optimization performance. …”
Get full text
-
13
-
14
Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars
Published 2023“…Finally, a design equation that can predict the shear capacity of one-way BFRC-BFRP slabs was proposed based on genetic algorithm. The proposed model showed the best prediction accuracy compared to the available design codes and guidelines with a mean of predicted to experimental shear capacities (V<sub>pred</sub>/V<sub>exp</sub>) ratio of 0.97 and a coefficient of variation of 17.91%.…”
-
15
Multi-Objective Task Allocation Via Multi-Agent Coalition Formation
Published 2012Get full text
doctoralThesis -
16
Practical single node failure recovery using fractional repetition codes in data centers
Published 2016“…Hence, a practical solution for node failures is presented by using a self-designed genetic algorithm that searches within the feasible solution space. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
17
-
18
Comprehensive whole genome sequence analyses yields novel genetic and structural insights for Intellectual Disability
Published 2017“…The <i>de novo</i> assembly resulted in unmasking hidden genome instability that was missed by standard re-alignment based algorithms. We also interrogated regulatory sequence variation for known and hypothesized ID genes and present useful strategies for WGS data analyses for non-coding variation.…”
-
19
Practical Multiple Node Failure Recovery in Distributed Storage Systems
Published 2016“…The problem is solved using genetic algorithms that search within the feasible solution space. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
20
Optimizing overheating, lighting, and heating energy performances in Canadian school for climate change adaptation: Sensitivity analysis and multi-objective optimization methodolog...
Published 2023“…This paper aims to develop long-term adaptation strategies for the existing Canadian school buildings under extreme current and future climates using a developed methodology based on global and local sensitivity analysis and Multi-Objective Optimization Genetic Algorithm. The calibrated simulation model based on indoor and outdoor measured temperature for a school of interest is used to evaluate the optimization strategies. …”
Get full text
Get full text
Get full text
