scispace - formally typeset
Search or ask a question

Answers from top 10 papers

More filters
Papers (10)Insight
Schema analysis of the algorithm shows that a sexual reproduction with the generalized mutation operator preserves the global convergence property of a genetic algorithm thus establishing the fundamental theorem of the GA for the algorithm.
When individuals with a lower information density than the mutation source are targeted for mutation, very high rates of mutation can be used.
Proceedings ArticleDOI
N. Higashi, Hitoshi Iba 
24 Apr 2003
553 Citations
PSO with Gaussian mutation is able to obtain a result superior to GA. We also apply the PSO with Gaussian mutation to a gene network.
Furthermore, some data analysis, such as mutation number, mutation type, protein pair source and network map construction, can be performed online. Our work can promote the study on PPIs, and novel information can be mined from the new database.
Due to its efficiency and flexibility, the Major mutation framework is suitable for the application of mutation analysis in research and practice.
The V1016G mutation appears to be the most important kdr mutation in Ae.
Our tool MuVM achieves a significant runtime improvement by performing higher order mutation analysis using four techniques, meta mutation, mutation on virtual machine, higher order split-stream execution, and online adaptation technique.
Open accessJournal ArticleDOI
Sergey V. Prykhozhij, Jason N. Berman 
23 Citations
These reports also illustrate how the procedures for introducing specific mutations can be straightforward, such that ssODNs with only the target mutation are sufficient for generating the intended knock-in animals.
Results shown that the addition of a mutation operator to PSO can enhance optimisation performance and insight is gained into how to design mutation operators dependent on the nature of the problem being optimized.
Special purpose optimizing mutation improves search in domains too large for traditional mutation to be useful.

See what other people are reading

Does time management play a role in meeting deadlines and project objectives?
5 answers
Time management is crucial for meeting deadlines and achieving project objectives. It involves structuring work schedules, prioritizing tasks, and monitoring progress to ensure efficiency and effectiveness. Project schedule management focuses on progress tracking and deadline adherence to meet overall project goals. Effective time management aids in planning workflow execution, estimating durations, and avoiding deadline violations, ensuring all time constraints are met. Tools like the Critical Path Method (CPM) help identify critical tasks essential for project success, enhancing time management skills for managers. By utilizing time management principles and techniques, project teams can accelerate work completion, minimize delays, and optimize resource utilization to achieve project success within set time, cost, and quality parameters.
What are papers that talk about standards in transforming data into transactional data for association rule mining?
4 answers
Several papers discuss standards in transforming data into transactional data for association rule mining. Amrit Pal et al. propose a distributed frequent itemset generation and association rule mining algorithm using the MapReduce programming model, focusing on mining distributed data effectively. Telikani and Shahbahrami analyze various sanitization algorithms for association rule hiding, emphasizing the importance of transaction and item selection methods in optimizing the hiding process. Additionally, Luo et al. present a method for mining inter-transaction association rules based on dynamic support thresholds, addressing the challenges of setting minimum support thresholds in stream data mining. These papers collectively contribute to the development of standards and techniques for transforming data into transactional form for association rule mining.
How is the Apple Watches distinct from Apple Watch Ultra?
4 answers
The Apple Watch Ultra differs from the Apple Watch in several key aspects. The Apple Watch Ultra features a watch casing with air channels for improved air circulation, while the Apple Watch sets new benchmarks in design but at the expense of high engineering costs. Additionally, the Apple Watch Ultra's irregular rhythm notification (IRN) feature is FDA cleared for detecting atrial fibrillation (AF) in individuals without a history of AF, making it increasingly used for AF management. In contrast, the Apple Watch's distinct limb mutation of a Cortland apple tree results in earlier fruit color development and a higher percentage of red coloration compared to the Cortland apple tree.
What are the key factors or parameters that should be considered when running drone parameter analysis?
5 answers
When running drone parameter analysis, key factors and parameters that should be considered include the control structure based on PI-D and P-D controllers, the extraction of UAV parameters such as orientation and tilt, the landing criteria design, and the optimization of PD controller parameters using evolutionary algorithms like BBO and PSO. Additionally, monitoring resources, inspecting new terrain, and delivering packages are essential functions that drones perform, requiring stable controllers and optimized parameters for efficient operation. UAVs provide a fast and efficient method for analyzing field conditions in large land holdings, aiding in monitoring factors like timely irrigation and soil nutrient constitution for high yielding genetically modified crops. Incorporating these factors and parameters ensures accurate and effective drone performance and analysis.
What are the different factors for landslide susceptibility mapping?
5 answers
Landslide susceptibility mapping involves various factors crucial for accurate predictions. Factors commonly considered include geological attributes like lithology and fault density, topographical features such as slope, elevation, aspect, and curvature, hydrological elements like river density and distance to water bodies, anthropogenic factors like road density and population density, and environmental variables such as vegetation index, rainfall, and land use/cover. Machine learning algorithms like Support Vector Machine (SVM), Random Forest (RF), and Decision Tree (DT) are frequently employed for their effectiveness in integrating these diverse factors to create accurate landslide susceptibility maps. These factors collectively contribute to enhancing the precision and reliability of landslide susceptibility assessments, aiding in risk mitigation and disaster management efforts.
How can long term sizing and short term operation be handled in a two layer optimization problem?
5 answers
In a two-layer optimization problem involving long-term sizing and short-term operation, a viable approach is to employ collaborative stochastic optimization models. This method integrates both long-term capacity planning and short-term operational strategies to minimize total costs, including investment, operation, and emission costs. Algorithms like genetic algorithms and particle swarm optimization can be utilized to address the two-layer optimization effectively. Additionally, the use of stochastic optimization allows for the consideration of uncertainties, such as renewable energy variations and load fluctuations, enhancing the robustness of the model. By combining these techniques, the optimal capacities and operational strategies of components can be determined, leading to improved efficiency and cost-effectiveness in hybrid energy systems.
What is genetic diversity?
5 answers
Genetic diversity refers to the variety of genetic characteristics present within a population. It encompasses differences between species, breeds within species, and individuals within breeds, which can be measured directly at the DNA level. This diversity is crucial for natural and artificial selection processes aimed at adaptation and improved performance in livestock and companion animals. Genetic diversity serves as the raw material for natural selection to enable populations to adapt to changing environments. Various breeding methods can enhance genetic diversity, such as those promoting multigenic resistance in multiline varieties to disperse and dilute pests, thus contributing to race diversity. Understanding genetic diversity is essential for conservation efforts and informed management decisions for both wild and captive populations.
What methods are used in ship weather routing?
5 answers
Ship weather routing utilizes various methods to optimize routes based on weather conditions. These methods include the application of genetic algorithms to minimize fuel consumption by considering wind and waves, as well as implementing metaheuristic algorithms like the Weather Routing Metaheuristic (WRM) to find cost-effective routes within specific timeframes. Additionally, the use of advanced frameworks based on the A* algorithm has been proposed to optimize ship routes and operations when utilizing wind-assisted devices like rotors, with enhancements such as directed searching and three-dimensional extensions to improve efficiency. Weather routing tools are developed in MATLAB, incorporating detailed ship characteristics and physics-based models to estimate fuel consumption and determine optimal paths while ensuring safety through speed management strategies and genetic algorithms for route optimization.
How to do recommend the modernization optimally in elevator and escalator industry?
10 answers
To recommend optimal modernization strategies in the elevator and escalator industry, it's crucial to focus on enhancing efficiency, safety, and user experience through technological upgrades and innovative methodologies. For elevators, introducing advanced algorithms for dispatching can significantly reduce passenger journey times by optimizing waiting and travel times. Techniques such as Simulated Annealing (SA), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Whale Optimization Algorithm (WOA) have been compared, with performance indices indicating the potential for improved lift efficiency and customer satisfaction. Modernization can also include the installation of story terminals for inputting destination calls, which, when integrated with elevator controls, streamline passenger flow by directly transporting them to their selected floors without the need for further input inside the elevator car. For escalators, the modernization process can be revolutionized by adopting a modular component system. This involves removing outdated mechanical and electrical parts and replacing them with modular units that fit into the existing structural framework, allowing for the incorporation of the latest technology without the need for a completely new system. Additionally, upgrading the hoisting mechanism in elevators, such as converting from hydraulic to drive machine systems, can enhance performance and reliability while retaining some elements of the existing infrastructure. Implementing destination call controls that utilize serial interfaces for communication can further modernize the system by improving the efficiency of call allocation and floor selection processes. Incorporating measurement devices to monitor operating parameters of elevators provides data that can be used to optimize performance and maintenance schedules, ensuring the longevity and reliability of the modernized system. Lastly, during the preparatory phase of modernization, equipping the elevator installation with a destination call control that includes computing units for evaluating destination calls or user identification codes can streamline the operation and significantly enhance user experience. By integrating these strategies, the modernization of elevators and escalators can be optimized to meet current demands for efficiency, safety, and user satisfaction.
How does Otsu's entropy thresholding compare to other thresholding techniques in terms of accuracy and efficiency?
5 answers
Otsu's entropy thresholding method stands out in terms of accuracy and efficiency compared to other thresholding techniques. It leverages metaheuristic swarm-based algorithms like the bat algorithmand improved particle swarm optimization algorithmto optimize the threshold value, enhancing accuracy in image segmentation. Additionally, Otsu's method has been enhanced by estimating mean values heterogeneously to handle various image structures, leading to improved segmentation results in medical imaging applications. The use of Otsu's method in segmenting sandalwood leaf images has shown promising results, especially when combined with preprocessing techniques like Median filtering, ensuring accurate object separation and further processing. Overall, Otsu's entropy thresholding method, when optimized and adapted, proves to be a robust and efficient approach for image segmentation tasks.
What are the limitations and potential applications of Otsu's entropy thresholding in image processing and computer vision?
5 answers
Otsu's entropy thresholding, a popular method in image processing, has limitations and diverse applications. Limitations include sensitivity to noise and assumptions of intensity distribution. However, Otsu's method finds applications in various fields like cloud detection, retinal vessel segmentation in medical imaging, and enhancing mean values for improved segmentation output in MRI and skin lesion images. It is also utilized in optimizing fitness functions for bi-level image thresholding, enhancing segmentation results through mean filter approaches. Otsu-based approaches are widely used due to their simplicity and effectiveness in computer vision tasks, making them valuable despite their limitations.