Concepts of Metaheuristics

Definition and a brief explanation of the Fire Fly Algorithm The Fire Fly Algorithm (FFA) is a nature-inspired metaheuristic optimization algorithm that is based on the behavior of fireflies. It was first introduced by Xin-She Yang in 2008. Similar to other swarm intelligence algorithms, FFA imitates the collective behavior of fireflies to solve complex optimization problems. Fireflies communicate with each other through the emission of light, which is used to attract mates or find food sources. In FFA, this behavior is translated into a mathematical model where Overview of its applications in optimization problems FFA has been successfully applied to various optimization problems, including but not limited to, engineering design, image processing, data clustering, and economic modeling. It has shown promising results in finding optimal solutions for these problems by efficiently exploring the search space and exploiting the collective intelligence of the swarm. Additionally, FFA's...

An introduction to the most used multi-criteria decision-making method including example. The tutorial uses a graphical mode to explain the concept.  The Analytic Hierarchy Process (AHP) is a method for organizing and analyzing complex decisions, using math and psychology. It was developed by Thomas L. Saaty in the 1970s and has been refined since then.( Passage Technology ). See the entire video as given above. If you are interested to know more about the technique then click here Music Courtesy: https://pixabay.com/ If you want more such tutorial visit: http://www.baipatra.ws If you have a paper to publish then consider the journals here: http://energyinstyle.website/  

In recent years,different objective methods are applied to identify the best option from the available set of alternative for solving a given decision making problem.Analytical Hierarchical Process or AHP is one of such method which is mostly applied in decision making problems where multiple criteria is considered before selecting the best solution among the available set of solutions.This tool will help to identify the best solution with the help of AHP method from a set of feasible solutions to solve the given decision making problem. Suppose we want to select the best location for installation of a hydro power plant. Such kind of power plant require sufficient amount of flow at a regular frequency throughout the year.The interconnection length or the distance between the two banks of the river must also within the suitable limit. So Amount and Frequency of Flow including the Interconnection Length of the available locations can be selected as the Criteria by which the availab...