Adaptive fuzzy particle swarm optimization for flow-shop scheduling problem

Ovaj rad razmatra novi pristup problemu raspoređivanja u protočnoj proizvodnji korištenjem kombinacije neizrazite logike i optimizacije rojevima čestica u cilju postizanja sub-optimalnog rješenja. Predlaže se upotreba Tip-1 i Tip-2 modela neizrazite logike u kombinaciji s adaptivnim modelom rojeva čestica. Razvijeni model je uspoređen na standardiziranim testnim funkcijama za stohastičke algoritme (prvo jednokriterijske, a zatim višekriterijske postavljene funkcije cilja) kako bi se utvrdila njegova upotrebljivost na opće postavljenim problemima. Zatim je testiran na standardiziranim testnim zadacima za probleme protočne proizvodnje te konačno na dva praktična problema protočne proizvodnje (linije montaže i linije pakiranja). Rezultati ostvareni novim modelom su uspoređeni s konvencionalnim pravilima prioriteta te je pokazan kvantitativan i kvalitativan napredak primjenom hibrida neizrazite logike i rojeva čestica.This paper describes the application of a hybrid of fuzzy logic and swarm intelligence in order to achieve sub-optimal solutions for flow-shop scheduling problem. A novel adaptive approach with fuzzy particle swarm optimization is proposed. The developed model is tested with the standardized test functions and compared with selected stochastic algorithms (first with one objective functions and later with multi objective functions) to determine its applicability to general problems. Benchmark examples were utilized to evaluate the approach and determine the optimal number of the algorithm evaluations. Finally, the proposed model is applied on two practical problems of flow production problems (assembly lines and packaging lines). The results achieved were compared with the conventional priority rules and the effectiveness of the application of hybrid fuzzy logic and adaptive particle swarm optimization algorithm was demonstrated

Application of Artificial Neural Networks to Multiple Criteria Inventory Classification

Inventory classification is a very important part of inventory control which represents the technique of operational research discipline. A systematicapproach to the inventory control and classification may have a significant influence on company competitiveness. The paper describes the results obtained by investigating the application of neural networks in multiple criteria inventory classification. Various structures of a back-propagation neural network have been analysed and the optimal one with the minimum Root Mean Square error selected. The predicted results are compared to those obtained by the multiple criteria classification using the analytical hierarchy process

Primjena neizrazite logike u vođenju kotla

Application of fuzzy logic for solving the control problems of boiler room shown on the examples of water level control in boiler drum and combustion quality control is presented. Fuzzy control rules were extracted from operator knowledge based on the relative relevance ruling criteria for existing boiler room. Proposed fuzzy control model was adjusted for given problem with simplification of output variables in order to speed up final calculation.U radu je prikazana primjena neizrazite logike u rješavanju zadaća vođenja kotlovskog postrojenja, na primjeru regulacije razine vode u bubnju kotla i regulacije kvalitete izgaranja. Neizrazita pravila su nastala kao rezultat znanja korisnika sustava vođenja (operatera), pravila su odabrana na osnovu kriterija relativnog značaja postojećeg kotlovskog postrojenja. Predloženi neizraziti model prilagođen je danom problemu uz pojednostavljenje izračuna izlaznih varijabli u cilju ubrzanja

Applying Artificial Neural Network to Optimize the Performance of the Compressor Station: A Case Study

This paper presents the implementation of a reprogrammable PLC system as a monitoring control tool in the actual operating environment of a compressor station. A neural network is used to recognize the temperature pattern and to predict the temperature on the compressor station. A cooling system is installed for the optimization purpose of the observed system. The research was conducted in three stages in real working conditions within the production hall. The difference in temperatures with and without the added cooling system is shown. There are gaps in this research that represent opportunities for future development, therefore recommendations for further research are given

O indeksima snage u sustavima glasovanja da-ne

U sustavima glasovanja da-ne, "igrači" (primjerice, stranke u parlamentu) imaju određeni utjecaj na donošenje nekih odluka. U tim situacijama glasovanja, kod kojih je potrebna većina glasova za prihvaćanje odluke, može se razmatrati pitanje snage pojedinih stranaka (odnosno "igrača"). Postoji više različitih indeksa snage, od kojih nekoliko poznatih opisujemo u ovom članku, primjerice Shapley-Shubik indeks, Banzhaf indeks, Johnston indeks, Deegan- Packel indeks. Radi ilustracije, promatramo te indekse snage u nekoliko primjera i u slučaju Europskog parlamenta

Investigation of Correlation between Image Features of Machined Surface and Surface Roughness

Alternative approach to surface roughness evaluation is mostly based on the analysis of digital images of machined surfaces i.e. on extracting various features from the matrix mathematically representing a digital image. This paper analyses correlation between 23 different digital image features and the surface roughness for two different materials: aluminium and stainless steel. Machined surfaces for both materials were acquired by face milling. Factorial design 6 × 5 × 2 with two replicates was conducted for each material with cutting parameters being varied on various numbers of levels. Based on the correlation coefficients the results showed that the best ranked features regardless of the machined material were the features based on statistic measures

PREBAČAJ KUNJKE Arca noae Linnaeus, 1758 IZ PRIRODNIH UVJETA U RAZLIČITE UVJETE EKSPERIMENTALNOG UZGOJA

Noah’s ark shell Arca noae Linnaeus, 1758 is one of commercially important species in Croatia harvested from the wild. Its length/sex relationship, sex ratio and survival after transfer from natural habitat to different experimental farming conditions were examined. Statistically smaller lengths were detected for males (x=52.6±8.7 mm) than for females (x=60.2±9.5 mm). The overall sex ratio was 1.8 : 1.0 in favour of males. Survival after 17 months was only 20.5%. This study demonstrated that A. noae specimens can be transferred from the wild onto field experimental conditions, but high post transfer mortalities occurred. Gathered data about post transfer mortalities and relationship between the sexes and lengths could be useful when planning aquaculture/hatchery operations for this bivalve species. Furthermore, they will be of great help for the further development of farming technology of this species.Kunjka Arca noae Linnaeus, 1758 je jedna od komercijalno važnih vrsta školjkaša u Hrvatskoj koja se izlovljava iz prirodnih staništa. Istražili smo odnos dužina prema spolu, udio spolova i preživljavanje nakon prebačaja iz prirodnog staništa u eksperimentalne uzgojne uvjete. Statistički značajno manje dužine uočene su kod mužjaka (x=52,6±8,7 mm) u odnosu na ženke (x=60,2±9,5 mm). Ukupni udio spolova bio je 1,8 : 1,0 u korist mužjaka. Preživljavanje nakon 17 mjeseci iznosilo je 20,5%. Istraživanje ukazuje na mogućnost prebačaja kunjke iz prirodnih staništa u nove uzgojne uvjete, ali uz posljedično visoku smrtnost. Dobiveni podatci o mortalitetu nakon prebačaja i odnosa između spola i dužine mogu biti korisni prilikom planiranja akvakulture/mrijesta za ovu vrstu. Nadalje, podatci će biti korisni za daljnji razvoj tehnologije uzgoja kunjke

PREBAČAJ KUNJKE Arca noae Linnaeus, 1758 IZ PRIRODNIH UVJETA U RAZLIČITE UVJETE EKSPERIMENTALNOG UZGOJA

Noah’s ark shell Arca noae Linnaeus, 1758 is one of commercially important species in Croatia harvested from the wild. Its length/sex relationship, sex ratio and survival after transfer from natural habitat to different experimental farming conditions were examined. Statistically smaller lengths were detected for males (x=52.6±8.7 mm) than for females (x=60.2±9.5 mm). The overall sex ratio was 1.8 : 1.0 in favour of males. Survival after 17 months was only 20.5%. This study demonstrated that A. noae specimens can be transferred from the wild onto field experimental conditions, but high post transfer mortalities occurred. Gathered data about post transfer mortalities and relationship between the sexes and lengths could be useful when planning aquaculture/hatchery operations for this bivalve species. Furthermore, they will be of great help for the further development of farming technology of this species.Kunjka Arca noae Linnaeus, 1758 je jedna od komercijalno važnih vrsta školjkaša u Hrvatskoj koja se izlovljava iz prirodnih staništa. Istražili smo odnos dužina prema spolu, udio spolova i preživljavanje nakon prebačaja iz prirodnog staništa u eksperimentalne uzgojne uvjete. Statistički značajno manje dužine uočene su kod mužjaka (x=52,6±8,7 mm) u odnosu na ženke (x=60,2±9,5 mm). Ukupni udio spolova bio je 1,8 : 1,0 u korist mužjaka. Preživljavanje nakon 17 mjeseci iznosilo je 20,5%. Istraživanje ukazuje na mogućnost prebačaja kunjke iz prirodnih staništa u nove uzgojne uvjete, ali uz posljedično visoku smrtnost. Dobiveni podatci o mortalitetu nakon prebačaja i odnosa između spola i dužine mogu biti korisni prilikom planiranja akvakulture/mrijesta za ovu vrstu. Nadalje, podatci će biti korisni za daljnji razvoj tehnologije uzgoja kunjke

Crecimiento e índice de condición – dos importantes factores en la crianza de los mejillones

Proizvodnja dagnje zastupljena je u većini mediteranskih zemalja, a najveći proizvođači su Španjolska i Grčka. Hrvatska proizvodnja je u odnosu na ukupnu količinu vrlo mala i već desetljećima konstantno iznosi oko 3.000 tona godišnje. Tehnologija uzgoja dagnji je relativno jednostavna, a cijeli sektor karakterizira neorganiziranost tržišta i nepovezanost proizvođača. Prirast i indeks kondicije dagnji važni su čimbenici u proizvodnji dagnji, zbog što bržeg postizanja tržišne veličine te količine mesa u ljušturi. Poznavanjem hidrodinamičkih i trofičkih karakteristika uzgojnog područja te bioloških karakteristika dagnje, uz pravilne zootehničke zahvate, može se djelomično utjecati i na vrijednosti prirasta i indeksa kondicije. Cilj ovog rada je opisati osnovne faktore koji utječu na brzinu rasta i kondicije dagnje. Svrha rada je opis osnovnih tehnoloških postupaka u proizvodnji, čime se mogu maksimalno iskoristiti prirodni potencijali određene lokacije za uzgoj, te direktno povećati korist (dobit) uzgajivača.Production of mussels is present in most of the Mediterranean countries, with Spain and Greece as the largest producers. Compared to the total production, Croatian mussel production is continuously small – only around 3.000 tones of mussels a year are placed on the market. Farming technology is relatively simple, while the whole sector is characterized with unorganized market and unconsolidated small producers. Growth and condition index are important factors for mussel farming in terms of reaching the market sized length and good meat yield. By knowing the hydrodynamics and trophic features of the production area and the biological characteristics of mussels, along with the right zoo technical procedures, we can partially influence growth and condition index of cultured mussels. The aim of this paper is to describe main ecological impacts on these two factors under aquaculture. The purpose is to summarize important farming procedures, which can reflect with utilization of the natural potentials on the production site and with increased profitability for the producer.Die Pfahlmuschelzucht ist in den meisten Mediteranländern vertreten. Die größten Hersteller sind Spanien und Griechenland. Die kroatische Herstellung ist in Bezug auf die Gesamtmenge sehr klein. Sie beträgt seit Jahrzehnten ständig um 3.000 Tonnen jährlich. Die Technologie der Pfahlmuschelzucht ist verhältnismäßig einfach. Der ganze Sektor ist durch das Nicht-Organisiertsein des Marktes und die Nicht-Verbundenheit der Hersteller charakterisiert. Zuwachs und Konditionsindex sind wichtige Faktoren in der Pfalmuschelzucht, dies zwecks Erreichens der Marktgröße und der Fleischmenge in der Muschel. Durch hydrodynamische und tropische Charakteristiken des Zuchtgebietes sowie durch biologische Charakteristiken der Pfahlmuscheln und auch durch richtige zootechnische Eingriffe kann man teilweise auf den Zuwachs- und Konditionsindexwert einen Einflus ausüben. Das Ziel dieser Arbeit ist die Grundfaktoren zu beschreiben, die die Schnelligkeit des Zuwachses und die Kondition von Pfahlmuscheln haben. Der Zweck der Arbeit ist, die technologischen Grundprozesse in der Herstellung zu beschreiben, womit Naturpotentiale der bestimmten Zuchtlokalität maximal ausgenützt werden können. Somit wird der Gewinn des Herstellers direkt vergrößert.La mitilicoltura è presente nella maggior parte dei paesi del Mediterraneo, tra i quali primeggiano la Spagna e la Grecia. La produzione croata, in rapporto alla quantità complessiva, è molto piccola ed è ormai da decenni costantemente assestata attorno alle 3.000 tonnellate l’anno. La tecnologia di produzione dei mitili è relativamente semplice, mentre l’intero settore è caratterizzato dalla disorganizzazione del mercato e dalla mancanza di collegamento tra produttori. La crescita e l’indice di condizione dei mitili sono fattori importanti nella loro produzione. È importante, infatti, che raggiungano quanto prima la taglia commerciale e la maggior quantità di polpa tra le valve. Grazie alla conoscenza delle caratteristiche idrodinamiche e trofiche dell’area di produzione e delle caratteristiche biologiche dei mitili, con interventi zootecnici adeguati è possibile influire parzialmente anche sui valori della crescita e dell’indice di condizione. Obiettivo di questo lavoro è descrivere i fattori base che incidono sulla velocità della crescita e sull’indice di condizione dei mitili. Scopo del lavoro è descrivere le procedure tecnologiche di base nella produzione, in modo tale da sfruttare appieno le potenzialità naturali di una determinata area d’allevamento e determinare, così, anche un incremento diretto degli utili degli allevatori.La producción de los mejillónes está presente en la mayoría de los países mediterráneos y los productores mayores son España y Grecia. La producción de Croacia es pequeña en vista de la cantidad total y es alrededor de 3.000 toneladas por año. La tecnología de la crianza de mejillónes es relativamente simple y el sector entero está caracterizado por la falta de organización del mercado y la desconexión de los productores. El crecimiento y el índice de condición son los factores importantes en la producción de mejillones. Se trata de obtener la masa mercantil optimal y la carne en la concha lo más pronto posible. Es posible influir parcialmente en los valores del crecimiento y el índice de condición conociendo las características hidrodinámicas y tróficas del territorio, tanto como las características biológicas de los mejillones. El objetivo de este artículo fue describir los factores que influyen sobre la rapidez del crecimiento y la condición de mejillón. La finalidad del artículo es la descripción de los tratamientos tecnológicos básicos de la producción, lo que permite la eficacia maximal de los potenciales naturales de cualquier lugar para la crianza y así incrementar directamente el provecho (beneficio) de los productores

Estimation of CNC Grinding Process Parameters Using Different Neural Networks

Continuation of research on solving the problem of estimation of CNC grinding process parameters of multi-layer ceramics is presented in the paper. Heuristic analysis of the process was used to define the attributes of influence on the grinding process and the research model was set. For the problem of prediction - estimation of the grinding process parameters the following networks were used in experimental work: Modular Neural Network (MNN), Radial Basis Function Neural Network (RBFNN), General Regression Neural Network (GRNN) and Self-Organizing Map Neural Network (SOMNN). The experimental work, based on real data from the technological process was performed for the purpose of training and testing various architectures and algorithms of neural networks. In the architectures design process different rules of learning and transfer functions and other attributes were used. RMS error was used as a criterion for value evaluation and comparison of the realised neural networks and was compared with previous results obtained by Back-Propagation Neural Network (BPNN). In the validation phase the best results were obtained by Back-Propagation Neural Network (RMSE 12,43 %), Radial Basis Function Neural Network (RMSE 13,24 %,), Self-Organizing Map Neural Network (RMSE 13,38 %) and Modular Neural Network (RMSE 14,45 %). General Regression Neural Network (RMSE 21,78 %) gave the worst results