Comparison of Physics-Based Optimization Algorithms by Using Benchmark Functions

Abstract

Many of meta-heuristics optimization algorithms which are used to solving optimization problems are inspired from biological evolution, physical, social and chemical processes. Electromagnetism-like Algorithm (EM), Big Bang-Big Crunch Algorithm (BB-BC) and Gravitational Search Algorithm (GSA) are investigated in this study and they are physics-based meta-heuristics techniques. Performances of EM, BB-BC and GSA are compared by using Rastrigin, Rosenbrock and De Jong test functions.