Volume 7 - Volume 7
SOCIAL NETWORK OPTIMIZATION A NEW METHAHEURISTIC FOR GENERAL OPTIMIZATION PROBLEMS
Abstract
In the recent years metaheuristics were studied and developed as powerful technics for hard optimization problems. Some of well-known technics in this field are: Genetic Algorithms, Tabu Search, Simulated Annealing, Ant Colony Optimization, and Swarm Intelligence, which are applied successfully to many complex optimization problems. In this paper, we introduce a new metaheuristic for solving such problems based on social networks concept, named as Social Network Optimization – SNO. We show that a wide range of np-hard optimization problems may be solved by SNO.
Paper Details
PaperID: p 4123-4130
Author's Name: Hassan Sherafat
Volume: Volume 7
Issues: Volume 7
Keywords: Metaheuristic, Computation, Optimization, np-hard problems.
Year: 2017
Month: December
Pages: 4123-4130