Proceedings of the 9th EAI International Conference on Bio-Inspired Information and Communications Technologies (Formerly BIONE 2016
DOI: 10.4108/eai.3-12-2015.2262424
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Adaptive Wind Driven Optimization

Abstract: In this paper, we propose two new methods to create an adaptive Wind Driven Optimization (WDO) algorithm, both of which are shown to outperform the classical WDO method while eliminating the need for fine-tuning the coefficients of the update equations. While the classical WDO offers a simple and efficient metaheuristic optimization algorithm, the coefficients that are inherent to the workings of the algorithm create an undesired level of complexity especially for the novice users. To alleviate this complexity… Show more

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Cited by 24 publications
(14 citation statements)
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“…More descriptions of CMAES approach used for the WDO are available in Pardhu et al 28 and Bayraktar and Komurcu. 46 Improved Otsu-AWDO for IMC segmentation. AWDO has proven to be more effective for MT problems than other similar methods.…”
Section: Image Preprocessingmentioning
confidence: 99%
“…More descriptions of CMAES approach used for the WDO are available in Pardhu et al 28 and Bayraktar and Komurcu. 46 Improved Otsu-AWDO for IMC segmentation. AWDO has proven to be more effective for MT problems than other similar methods.…”
Section: Image Preprocessingmentioning
confidence: 99%
“…For the second case study in both cases, GA and TWDO reached the better results for both best and mean values, but TWDO present almost none variation among all the 50 runs performed showing an enhance of the accuracy of the method compared to its original algorithm. From each of the study cases, it can be noticed that the implementation of the Tsallis distribution for the control of the evolution parameters enhanced not only in terms of results but also in terms of accuracy that allowed to put a recent and promisor method, with lots of variants possibilities [40][41][42], between the ones most used techniques for heat exchangers optimization. Yet, it is important to notice that the proposed variant of the algorithm could enhance the convergence and avoid premature stagnation of the optimization process.…”
Section: Casementioning
confidence: 99%
“…The third type is a special kind of heuristic optimization, which is derived from physical laws and provides a more theoretical basis for the convergence of the iterative formula. One typical representative is wind driven optimization (WDO) [25,26], which describes the motion of air particle through Newton's second law of motion and ideal gas law. Because they do not rely on the mathematical properties of the objective functions, this kind of optimization algorithm is widely used in engineering applications [27,28].…”
Section: Introductionmentioning
confidence: 99%