A hybrid COA$ε$-constraint method for solving multi-objective problems
This is an incremental improvement for researchers and practitioners in optimization, offering a more suitable method for solving multi-objective problems compared to existing approaches.
The paper tackled multi-objective optimization problems by proposing a hybrid method combining the ε-constraint technique and the Cuckoo algorithm, resulting in high accuracy and dispersion in the Pareto frontier as demonstrated through test problems.
In this paper, a hybrid method for solving multi-objective problem has been provided. The proposed method is combining the ε-Constraint and the Cuckoo algorithm. First the multi objective problem transfers into a single-objective problem using $ε$-Constraint, then the Cuckoo optimization algorithm will optimize the problem in each task. At last the optimized Pareto frontier will be drawn. The advantage of this method is the high accuracy and the dispersion of its Pareto frontier. In order to testing the efficiency of the suggested method, a lot of test problems have been solved using this method. Comparing the results of this method with the results of other similar methods shows that the Cuckoo algorithm is more suitable for solving the multi-objective problems.