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Yağmur Suyu-Kanalizasyon Şebekelerinin Optimizasyonunda Taguchi Yöntemi ile Genetik Algoritma Parametrelerinin Seçimi

Selection of Genetic Algorithm Parameters for Optimization of Storm-Sewer Networks Using Taguchi Method

Tülin Çetin(MANİSA CELÂL BAYAR ÜNİVERSİTESİ)0000-0002-1511-7338
Mehmet Ali Ilgın(MANİSA CELÂL BAYAR ÜNİVERSİTESİ)0000-0003-1765-2470
Mehmet Ali Yurdusev(MANİSA CELÂL BAYAR ÜNİVERSİTESİ)0000-0003-3018-0770
Sayfa
1–10
Yayın Tarihi
2024-04-29
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Bu nedenle, yağmursuyu ve kanalizasyon sistem tasarımının hidrolik optimizasyonu için kullanılan genetik algoritmanın en uygun parametrelerini belirlemek için Taguchi Yöntemi, literatürde ilk defa bu çalışmada önerilmektedir.

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Amaç & Hipotez:Genetik algoritma, yağmursuyu ve kanalizasyon sistem tasarımının hidrolik optimizasyonu için en çok başvurulan optimizasyon tekniklerinden biridir.
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Temel Bulgular & Veri:Genetik algoritma, performansını etkileyen popülasyon büyüklüğü, çaprazlama yöntemleri, çaprazlama oranları, elitizm oranları, mutasyon oranları ve turnuva seçim algoritması için karşılaştırma değerleri gibi farklı parametrelere sahiptir.
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Sonuç & Katkı:Bu nedenle, yağmursuyu ve kanalizasyon sistem tasarımının hidrolik optimizasyonu için kullanılan genetik algoritmanın en uygun parametrelerini belirlemek için Taguchi Yöntemi, literatürde ilk defa bu çalışmada önerilmektedir.
🔬Tür:Deneysel Tarla Denemesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Yağmur suyu-kanalizasyon şebekeleri · optimizasyon · genetik algoritma

Özet

Genetik algoritma, yağmursuyu ve kanalizasyon sistem tasarımının hidrolik optimizasyonu için en çok başvurulan optimizasyon tekniklerinden biridir. Genetik algoritma, performansını etkileyen popülasyon büyüklüğü, çaprazlama yöntemleri, çaprazlama oranları, elitizm oranları, mutasyon oranları ve turnuva seçim algoritması için karşılaştırma değerleri gibi farklı parametrelere sahiptir. Genetik algoritmanın doğası gereği bu parametrelerin optimum değerlerini elde etmek için, parametrelerin farklı değerleri denenmelidir. Fakat tam faktöriyel tasarım olan bu parametrelerin tüm olası değerlerini denemek, çok fazla zaman alır. Bu nedenle, yağmursuyu ve kanalizasyon sistem tasarımının hidrolik optimizasyonu için kullanılan genetik algoritmanın en uygun parametrelerini belirlemek için Taguchi Yöntemi, literatürde ilk defa bu çalışmada önerilmektedir. Taguchi yönteminin 16 deney anlamına gelen L16 ortogonal dizisi kullanılmıştır. Her deney altı kez tekrarlanmıştır. Faktörlerin anlamlılığını belirlemek için tam faktöriyel tasarımda 44x6=1536 defa çalıştırma yerine sadece 16x6=96 defa çalıştırılmıştır. Sonuç olarak, Taguchi yöntemiyle elde edilen maliyet değeri, tam faktöriyel tasarımla elde edilen maliyet değerine oldukça yakındır (0,15 %). Üstelik Taguchi yöntemi ile çok daha az denemeyle daha kısa sürede (4 ay yerine 7 gün) sonuç elde edilmektedir.

Abstract

Genetic algorithm is one of the most referred optimization techniques for the hydraulic optimization of stormwater and sewer system design. The genetic algorithm has different parameters affecting its performance such as population sizes, crossover methods, crossover rates, elitism rates, mutation rates and comparative values for the tournament selection algorithm. By the nature of the genetic algorithm, different values of these parameters should be tried to get the optimum values for them. But checking all possible values of these parameters that is a full factorial design is too much time consuming. Therefore, in this study, the Taguchi method is proposed for the first time in the literature to determine the most suitable parameter values of the genetic algorithm used for the hydraulic optimization of stormwater and sewage system design. The L16 Taguchi orthogonal array that involves 16 experiments was employed. Each experiment was replicated six times. Only 16x6=96 runs were carried out to determine the significance of the factors instead of running a full factorial design with 44x6=1536 runs. As a result, the cost value obtained with the Taguchi method is very close (0,15 %) to the cost value obtained with the full factorial design. Moreover, with the Taguchi method, the results are obtained in a shorter time (7 days instead of 4 months) with much fewer attempts.

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Bu Makaleye Atıf Yap

Çetin, T., Ilgın, M. A., Yurdusev, M. A. (2024). Yağmur Suyu-Kanalizasyon Şebekelerinin Optimizasyonunda Taguchi Yöntemi ile Genetik Algoritma Parametrelerinin Seçimi. Karaelmas Fen ve Mühendislik Dergisi, Cilt: 14 Sayı: 1, 1–10. https://doi.org/10.7212/karaelmasfen.1334274

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