A New Optimization Algorithm for Large-Scale Engineering Design Problems

Abstract

This paper proposes a new optimization algorithm based on Artificial Bee Colony (ABC) algorithm for large-scale engineering design problems, which can detect plural acceptable solutions. The proposed algorithm is evaluated through the numerical experiments on benchmark functions with many local minima, such as Rastrigin function, Schwefel function and Griewank function, and its development potential is discussed. In the numerical experiments, the performances of the proposed algorithm are compared with those of the existing optimization ones detecting multiple solutions to verify its effectiveness.