Figure 4
From: Large-scale global optimization through consensus of opinions over complex networks
The objective function F 2 as a function of iterations in different optimization algorithms. The optimization methods are distributed dual averaging (DDA) with two network models Cycle (C) and Expander (E), genetic algorithm (GA), differential evolution (DE), particle swarm optimization (PSO) and the proposed consensus-based optimization (CBO) with three schemes for the connection topology between the agents: Barabasi-Albert (BA), Watts-Strogatz (WS), and Erdős-Rényi (ER). All methods have a population of 1000 nodes, the desired function has 5 dimensions and the optimum output is 0. Data show averages over 50 runs.