scholarly journals A Hybrid Method for Recommendation Systems based on Tourism with an Evolutionary Algorithm and Topsis Model

2022 ◽  
pp. 1-25
Author(s):  
Saman Forouzandeh ◽  
Mehrdad Rostami ◽  
Kamal Berahmand
Keyword(s):  
Evolutionary Algorithm ◽  
Hybrid Method ◽  
Recommendation Systems ◽  
Topsis Model

A novel multi-objective evolutionary algorithm for recommendation systems

2017 ◽  
Vol 103 ◽  
pp. 53-63 ◽  
Author(s):  
Laizhong Cui ◽  
Peng Ou ◽  
Xianghua Fu ◽  
Zhenkun Wen ◽  
Nan Lu
Keyword(s):  
Evolutionary Algorithm ◽  
Recommendation Systems ◽  
Multi Objective

scholarly journals Event Recommendation System using Hybrid Method Based on Mobile Device

2021 ◽  
Vol 6 (1) ◽  
pp. 107-116
Author(s):  
Dio Saputra Kudori
Keyword(s):  
Everyday Life ◽  
Collaborative Filtering ◽  
Sentiment Analysis ◽  
Mobile Device ◽  
Hybrid Method ◽  
Recommendation System ◽  
Recommendation Systems ◽  
Unique Character ◽  
Event Recommendation

In everyday life there are many events that are held. Theseeventuse various ways in term of announcing eventfor attracting people to come.Because there are many event that are held in everyday life,an event recommendation system can be implemented to provide event recommendations that are appropriate for the user. In developing event recommendation systems, there are many methods that can be used, the onethat frequently used is collaborative filtering. The event recommendation system has a unique character compared to other recommendation systems. This is because the event recommendation system doesn’t use the classic scenario of a recommendation system. In this study we tried to use a hybrid method that combines collaborative filteringwith sentiment analysis. The experiment show that the results of the event recommendations have an accuracy value of 82%. Itshows that the hybrid method can be utilized for developing event recommendation systems.

Optimization of the Solder Joints of an Electronic Card Using Heuristic Algorithm

2017 ◽  
Vol 30 ◽  
pp. 39-48
Author(s):  
H. Hachimi ◽  
S. Assif ◽  
Y. Aoues ◽  
Abdelkhalak El Hami ◽  
Rachid Ellaia ◽  
...  
Keyword(s):  
Finite Element ◽  
Particle Swarm Optimization ◽  
Mechanical Behavior ◽  
Evolutionary Algorithm ◽  
Heuristic Algorithm ◽  
Hybrid Method ◽  
Electronic Systems ◽  
Swarm Optimization ◽  
Differential Evolutionary Algorithm ◽  
Performance Results

In this paper, a new hybrid method of optimization by the heuristics algorithms to evaluate the reliability of the electronic card by simulating its thermo-mechanical behavior is presented. A model of simulation by finite element is developed to consider the maximal deformations due to temperature; a mechanico- computing coupling is used to find the optimal structure. Embedded electronic systems are playing a very important role in several areas, such as in automotive, aerospace, telecommunications and medical sectors. To properly perform their functions, electronic systems must be reliable [18].This powerful and robust algorithm which is based on hybridization of Differential Evolutionary algorithm with Particle Swarm Optimization (PSO) gives performance results [7].

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