The new hybrid COAW method for solving multi-objective problems
This is an incremental improvement for researchers and practitioners in optimization, as it enhances methods for solving multi-objective problems.
The authors tackled multi-objective optimization problems by proposing a hybrid COAW algorithm combining Cuckoo Optimization Algorithm and simple additive weighting, resulting in exact Pareto frontiers with good dispersion and high speed in finding them.
In this article using Cuckoo Optimization Algorithm and simple additive weighting method the hybrid COAW algorithm is presented to solve multi-objective problems. Cuckoo algorithm is an efficient and structured method for solving nonlinear continuous problems. The created Pareto frontiers of the COAW proposed algorithm are exact and have good dispersion. This method has a high speed in finding the Pareto frontiers and identifies the beginning and end points of Pareto frontiers properly. In order to validation the proposed algorithm, several experimental problems were analyzed. The results of which indicate the proper effectiveness of COAW algorithm for solving multi-objective problems.