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.
%0 Journal Article
%1 noauthororeditor
%A Borhanifar, Zeinab
%A Shadkam, Elham
%D 2015
%J International Journal on Foundations of Computer Science & Technology (IJFCST)
%K Algorithm Cuckoo Multi-objective Optimization Pareto additive frontier optimization problem simple weighting
%N 6
%P 8
%R 10.5121/ijfcst.2015.5602
%T The New Hybrid COAW Method for Solving Multi-Objective Problems
%U https://wireilla.com/papers/ijfcst/V5N6/5615ijfcst02.pdf
%V 5
%X 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.
@article{noauthororeditor,
abstract = {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.},
added-at = {2022-12-23T09:44:13.000+0100},
author = {Borhanifar, Zeinab and Shadkam, Elham},
biburl = {https://www.bibsonomy.org/bibtex/2d6490cc709229ce7875931f7f25f0654/devino},
doi = {10.5121/ijfcst.2015.5602},
interhash = {627a9215a7ebab442c69b835ed947b31},
intrahash = {d6490cc709229ce7875931f7f25f0654},
issn = {1839-7662},
journal = {International Journal on Foundations of Computer Science & Technology (IJFCST)},
keywords = {Algorithm Cuckoo Multi-objective Optimization Pareto additive frontier optimization problem simple weighting},
month = nov,
number = 6,
pages = 8,
timestamp = {2022-12-23T09:44:13.000+0100},
title = {The New Hybrid COAW Method for Solving Multi-Objective Problems},
url = {https://wireilla.com/papers/ijfcst/V5N6/5615ijfcst02.pdf},
volume = 5,
year = 2015
}