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Umweltfreundliche Verkehrsmittelwahl in der Urlaubsregion

Groß, Sven; Grimm, Bente - In: Zeitschrift für Tourismuswissenschaft 11 (2019) 1, pp. 109-148

Zusammenfassung Seitens der verschiedensten Wissenschaftsdisziplinen wird sich mit der Verkehrsmittelwahl … auseinandergesetzt. Im vorliegenden Beitrag werden ausgewählte Determinanten der Verkehrsmittelwahl im Tourismus analysiert. Dies wird … Verkehrsmittelwahl am Urlaubsort nehmen. Hiermit soll ein Beitrag hin zu einer nachhaltigen Mobilität von Urlaubern geschaffen werden …

Persistent link: https://www.econbiz.de/10014624502

Einflussfaktoren der touristischen Verkehrsmittelwahl

Bünstorf, Nicole - In: Zeitschrift für Tourismuswissenschaft 14 (2022) 1, pp. 22-41

Mobilität zu beschäftigen. Zur Untersuchung der Einflussfaktoren auf die touristische Verkehrsmittelwahl wurde ein …

Persistent link: https://www.econbiz.de/10014624575

Optimal Design of Power System Stabilizer Using a Novel Evolutionary Algorithm

Paul, Sourav; Roy, Provas - In: International Journal of Energy Optimization and … 7 (2018) 3, pp. 24-46

In this article, an Oppositional Differential search algorithm (ODSA) is comprehensively developed and successfully applied for the optimal design of power system stabilizer (PSS) parameters which are added to the excitation system to dampen low frequency oscillation as it pertains to large...

Persistent link: https://www.econbiz.de/10012044585

A Unified Feature Selection Model for High Dimensional Clinical Data Using Mutated Binary Particle Swarm Optimization and Genetic Algorithm

Puyalnithi, Thendral; Vankadara, Madhuviswanatham - In: International Journal of Healthcare Information Systems … 13 (2018) 4, pp. 1-14

This article contends that feature selection is an important pre-processing step in case the data set is huge in size with many features. Once there are many features, then the probability of existence of noisy features is high which might bring down the efficiency of classifiers created out of...

Persistent link: https://www.econbiz.de/10012045229

Detection of Automobile Insurance Fraud Using Feature Selection and Data Mining Techniques

Subudhi, Sharmila; Panigrahi, Suvasini - In: International Journal of Rough Sets and Data Analysis … 5 (2018) 3, pp. 1-20

This article presents a novel approach for fraud detection in automobile insurance claims by applying various data mining techniques. Initially, the most relevant attributes are chosen from the original dataset by using an evolutionary algorithm based feature selection method. A test set is then...

Persistent link: https://www.econbiz.de/10012047413

On the Convergence and Diversity of Pareto Fronts Using Swarm Intelligence Metaheuristics for Constrained Search Space

Zeltni, Kamel; Meshoul, Souham; Al-Baity, Heyam H. - In: International Journal of Swarm Intelligence Research (IJSIR) 9 (2018) 1, pp. 20-38

This article reviews existing constraint-handling techniques then presents a new design for Swarm Intelligence Metaheuristics (SIM) to deal with constrained multi-objective optimization problems (CMOPs). This new design aims to investigate potential effects of leader concepts that characterize...

Persistent link: https://www.econbiz.de/10012047856

Genetic algorithm based fuzzy time series tourism demand forecast model

Sakhuja, Sumit; Jain, Vipul; Kumar, Sameer; Chandra, Charu - In: Industrial Management & Data Systems 116 (2016) 3, pp. 483-507

Purpose – Many studies have proposed variant fuzzy time series models for uncertain and vague data. The purpose of this paper is to adapt a fuzzy time series combined with genetic algorithm (GA) to forecast tourist arrivals in Taiwan. Design/methodology/approach – Different cases are studied...

Persistent link: https://www.econbiz.de/10014825711

Missing Value Imputation Using ANN Optimized by Genetic Algorithm

Mishra, Anjana; Naik, Bighnaraj; Srichandan, Suresh Kumar - In: International Journal of Applied Industrial Engineering … 5 (2018) 2, pp. 41-57

Missing value arises in almost all serious statistical analyses and creates numerous problems in processing data in databases. In real world applications, information may be missing due to instrumental errors, optional fields and non-response to some questions in surveys, data entry errors, etc....

Persistent link: https://www.econbiz.de/10012042879

Autistic Language Processing by Patterns Detection

De Luise, Daniela Lopez; Saad, Ben Raul; Pescio, Pablo D; … - In: International Journal of Artificial Life Research (IJALR) 8 (2018) 1, pp. 36-61

The main goal of this article is to present an approach that allows the automatic management of autistic communication patterns by processing audio and video from the therapy session of individuals suffering autistic spectrum disorders (ASD). Such patients usually have social and communication...

Persistent link: https://www.econbiz.de/10012042922

Applicability of Cellular Automata in Cryptanalysis

Bhasin, Harsh; Alam, Naved - In: International Journal of Applied Metaheuristic … 8 (2017) 2, pp. 38-48

Cryptanalysis refers to finding the plaintext from the given cipher text. The problem reduces to finding the correct key from a set of possible keys, which is basically a search problem. Many researchers have put in a lot of effort to accomplish this task. Most of the efforts used conventional...

Persistent link: https://www.econbiz.de/10012042945

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