Communication-based Optimization Algorithm: A Meta-heuristic Technique for Solving Single-Objective Problems

Abstract

In this paper, a science-inspired meta-heuristic optimization algorithm is proposed and called communication-based optimization algorithm (COA). The COA originates from the power allocation policy to users in non-orthogonal multiple access (NOMA)-based wireless communication networks. Four main steps of COA such as channel gain of users, power allocation, velocity of users and movement mechanism are modeled for equipping the COA with high exploration and exploitation phases. The COA is evaluated with standard mathematical test problems and compared with PSO, GSA, MFO, SSA, and FDA. The results show that the proposed algorithm is very competitive compared to well-known algorithms and in some cases its performance outperforms other meta-heuristic techniques, significantly.