A compact compound sinusoidal differential evolution algorithm for solving optimisation problems in memory-constrained environments

In this paper, a new compact algorithm is proposed. Two sinusoidal formulas are used to automatically adjust the crossover rate and mutation scaling factor in Differential Evolution (cDE) metaheuristic. The proposed algorithm, called Compound Sinusoidal cDE, CScDE, compared seven state-of-the-art algorithms on well-known BBOB test-bed, CEC-2014 test suite for continuous optimisation, as well five real-world optimisation problems chosen from CEC-2011 benchmarks. CScDE outperformed its competitors most problem categories over dimensions. It also some well-established population-based metaheuristics.