Code for Computer Science

 Flower Pollination Algorithm (FPA) Flower Pollination Algorithm (FPA)  is a Nature Inspired Metaheuristic Optimization Algorithm. It is introduced by Xin She Yang in 2012. Flower Pollination Algorithm is a population based metaheuristic algorithm that is basically inspired by the plants  flowering  behavior in nature. Flower Pollination Algorithm outperform different Metaheuristics and provide better results in different fields such as: For Feature Selection. For Image Processing. For Signal Processing. In Computer Gaming. For Wireless Sensor Network Problems. For Structural Design Problems. For Clustering Problems. For Global Optimization Problems. There are more than 250000 species of flowering plants around the world and 200000 species of pollinators. Pollinators play major role in the pollination process. 35% of our food pants are animal pollinated.  Pollen: Pollen are the grains / Yellow Dust like particles.  Pollinators: Pollinators play major r...

Remora Optimization Algorithm (ROA) Remora Optimization Algorithm (ROA) is recently proposed Bionics based, Nature Inspired Metaheuristic Optimization Algorithm used to solve Global Optimization Problems. Remora Optimization Algorithm is proposed by Heming Jia, Xiaoxu Peng and Chunbo Lang in 2021. Remora Optimization Algorithm is basically inspired by the Parasitic features of remora and Random Host Replacement of remora. Remora use suction technique for their survival. They attached themselves to the host animals such as Whales, Sea Turtles, Sharks, Swordfish and other. They use their suction disk to easily attach themselves with host. Remora clean host body from Parasites, Bacteria's, and in return they get their food for survival. They also eat the leftover food from their host. In ROA, Whale Optimization Algorithm and Swordfish Optimization Algorithm is used to update remora position in the search space. In ROA, the fusion framework is used by switching between Remora and t...