Some hybrid models to improve Firefly algorithm performance
نویسندگان
چکیده
Firefly algorithm is one of the evolutionary optimization algorithms, and is inspired by the behavior of fireflies in nature. Though efficient, its parameters do not change during iterations, which is also true for particle swarm optimization. This paper propose a hybrid model to improve the FA algorithm by introducing learning automata to adjust firefly behavior, and using genetic algorithm to enhance global search and generate new solutions. We also propose an approach to stabilize firefly movement during iterations. Simulation results show better performance and accuracy than standard firefly algorithm.
منابع مشابه
A Hybrid Algorithm using Firefly, Genetic, and Local Search Algorithms
In this paper, a hybrid multi-objective algorithm consisting of features of genetic and firefly algorithms is presented. The algorithm starts with a set of fireflies (particles) that are randomly distributed in the solution space; these particles converge to the optimal solution of the problem during the evolutionary stages. Then, a local search plan is presented and implemented for searching s...
متن کاملPrediction of daily evaporation using hybrid support vector regression-firefly optimization algorithm and multilayer perceptron
Prediction of daily evaporation is a valuable and determinant tool in sustainable agriculture and hydrological issues, especially in the design and management of water resources systems. Therefore, in this study, the ability of artificial intelligence models of multi-layer perceptron (MLP), support vector regression (SVR), and the hybrid model of support vector regression-firefly optimization a...
متن کاملA Hybrid Firefly-Water Wave Algorithm for Effort Estimation of Software Testing
Test effort estimation of software testing is the complex task. There are multiple factors affect the test effort estimation of software testing. The test effort can be calculated on the basis of effort cost and time required for testing. Multiple studies have been done for developing test effort estimation models but the most of these models provide inaccurate result after some time. . The mul...
متن کاملA HYBRID CHARGED SYSTEM SEARCH - FIREFLY ALGORITHM FOR OPTIMIZATION OF WATER DISTRIBUTION NETWORKS
Water distribution networks are one of the important and costly infrastructures of cities and many meta-heuristic algorithms in standard or hybrid forms were used for optimizing water distribution networks. These algorithms require a large amount of computational cost. Therefore, the converging speed of algorithms toward the optimization goal is as important as the goal itself. In this paper, a...
متن کاملSensitivity Analysis and Development of a Set of Rules to Operate FCC Process by Application of a Hybrid Model of ANFIS and Firefly Algorithm
Fluid catalytic cracking (FCC) process is a vital refinery process which majorly produces gasoline. In this research, a hybrid algorithm which was constituted of Adaptive Neuro-Fuzzy Inference System (ANFIS) and firefly optimization algorithm was developed to model the process and optimize the operating conditions. To conduct the research, industrial data of Abadan refinery FCC process were car...
متن کامل