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How to work with Cuckoo Search Algorithm?

Definition of the Cuckoo Search Algorithm  The Cuckoo Search Algorithm is a metaheuristic optimization algorithm inspired by the behavior of cuckoo birds. It was first introduced by Xin-She Yang and Suash Deb in 2009. This algorithm is based on the concept of brood parasitism, where cuckoo birds lay their eggs in the nests of other bird species, forcing them to raise their offspring. Similarly, in the Cuckoo Search Algorithm, a population of candidate solutions (cuckoos) is generated and each solution represents a potential solution to the optimization problem. These solutions are then evaluated based on their fitness, which represents how well they perform in solving the problem. The algorithm follows a process of random search and local search, where each cuckoo's solution is modified and improved iteratively.  The best solutions are selected and used to generate new solutions for the next iteration. This process continues until a stopping criterion is met, such as reaching ...

Hydrology tutorial on Hydrograph Part 1

HydroGraph HydroGraph is a powerful tool used in hydrology to analyze and interpret various aspects of water resources. It combines data from multiple sources, such as rainfall, streamflow, and groundwater levels, to provide valuable insights into the behavior and availability of water in a given area. With its advanced algorithms and visualization capabilities, HydroGraph plays a crucial role in understanding hydrological processes and making informed decisions for water management and planning.  Studying HydroGraph is of utmost importance as it enables scientists, researchers, and policymakers to accurately assess the current state of water resources and predict future trends. By analyzing the data provided by HydroGraph, experts can identify potential water scarcity or flooding risks, evaluate the impact of climate change on water availability, and develop effective strategies for sustainable water management. Additionally, understanding HydroGraph allows for better allocation o...

Free E-Course : Arithmatic Mean Method, Thiessen Polygon Method and Isohyetal Method

Find below the free e-course on Arithmetic Mean Method, Thiessen Polygon Method, and Isohyetal Method Mean Precipitation over an Area by Iso Hyetal Method Estimation of Mean Precipitation by Thiessen Polygon Method Mean Precipitation Prediction by Arithmetic Mean Method More free tutorials on hydrology coming soon. Subscribe to stay tuned. You may also like : Very Short-Term Courses: Optimization Techniques and their Application in Hydro-informatics Be Sustainable: How to Use WCI and ECI to save water and electricity use? Confused about which method to use? iDecide will help . Create your own Video and manage it . Become an Affiliate of other related books, courses, and products Guest Posting to this newsletter New but peer-reviewed journals Learn about data science with simple examples Evaluate the suitability of a journal with respect to your article Host your own App Read the book:  Lecture Notes on MCDM Preorder: GIS in One Page Preorder: 50 Project Ideas on MCDM and GIS F...

Reposted : How to predict time dependent hydrological variables with the help of neural network ?

We all know that most of the hydrological variables are time-dependent. It changes with time. Artificial Neural Network on the other hand has been found to perform best for time-dependent problems. Whether there is any relationship between time-dependent variables and neural network is unknown but it can be assured that neural networks can be used to develop models for the prediction of hydrological variables with better accuracy compared to other hydrological models. The post below depicts the methodology for the application of neural networks in the development of hydrological models. This is reposted from my Water and Energy Nexus Blog : https://waterandenergynexus.blogspot.com/2013/04/how-to-predict-time-dependent-variables.html Thanking you, Mrinmoy  My ResearchGate Id : Mrinmoy_Majumder Home Page:  http://www.mrinmoymajumder.com   Author of: Lecture Notes on MCDM Indian Link  ;  Global Link :