Developing Trust Based Optimization using GSA and ABC Models

Abstract

An optimization consists of maximizing or minimizing a real function by choosing input values from an allowed set and computing the value of the function. Trust mechanisms are chosen for an optimization to obtain the best performance. Trust does not require any request or verifying security certificates at all times. It is used to improve the performance of the routing protocols. The heuristic algorithm is a higher-level procedure designed to tune the best solution. Meta-heuristic algorithm is used to find, generate a good solution to an optimization problem.  In this work, meta-heuristic algorithms are utilized in combination with other methods. The proposed method includes two types of classifications, based on Gravitational Search Algorithm (GSA) and Artificial Bee Colony algorithm (ABC) algorithms.  These algorithms used to improve the routing performance of the network.