Speciation Based Firefly Algorithm for Optimization in Dynamic Environments

In many of the actual optimization problems, the objective function, the design variable, or the constraint may change over time, so the optimum value for these problems may also change. These problems are called dynamic problems. Algorithms designed to optimize in these environments have several principles to distinguish them from algorithms designed in static environments. This paper presented for the first time the dynamic environment optimization algorithm based on Firefly Algorithm.

AI optimization algorithm Genetic Algorithm, ACO (Ant Colony Optimization), PSO (Particle Group Optimization), ABC (Artificial Bee Colony), AIS (Artificial Immune System), NN (Neural Network), Annealing, Forgery Algorithm, Firefly Optimization of algorithm, bat algorithm, fish school algorithm algorithm Optimization of alternative solutions. Neural network optimization Neural network weight accuracy Neural network error search Best solution: Calculate time. it's the best. Optimization algorithm Numerical optimization Numerical data parameter search Combination optimization Combination TSP (Tarling Saleman Person) Problem City combination optimization algorithm Algorithm: machine learning, classification, clustering, feature selection, region problem optimization algorithm. Resolution: Optimize the problem (maximization, minimization). Model algorithm

Sahoo et al. We proposed a method for generating and optimizing test cases using Firefly algorithm (FA). Pistar etc. Describes the various chaos-based firefly algorithms (CFA), classification, and chaos mapping commonly used by various authors of the CFA. Shingal and Gaur 's Improvisation Firefly Algorithm uses the Bresenham line code algorithm to prioritize test cases. Solanki et al. Improved ant colony optimization (m - ACO) technology has been proposed and compared with other meta - heuristic techniques. Singhal et al. Two naturally inspired algorithms - bee colony optimization (BCO) and ant colony optimization (ACO) - were compared. Use AE, ASR, AETR and other indicators to compare these techniques