A hybrid genetic algorithm for automatic layout design of power module

In order to avoid the shortage of subjective judgment, carrying on the human-machine interface layout scientifically, this paper put forward that the genetic algorithm was applied to the layout design of oil rig driller console. Using real number coding, combining with human-machine interface layout principles to establish the mathematical model, genetic algorithm was adopted to optimize the layout. Developed an intelligent layout optimization system on basis of VB, and took the layout scheme formation process of the manipulators which on the right hand area of driller console as an example to explain the system. Theory and example analysis showed that the algorithm could generate the layout scheme quickly and effectively, solved the problem that layout principles were difficult to be quantize in the traditional layout design and the quality of layout was hard to judge, and to a certain extent, has realized automatic layout.

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OPTIMISATION OF NAVAL SHIP COMPARTMENT LAYOUT DESIGN USING GENETIC ALGORITHM

Proceedings of the Design Society ◽

10.1017/pds.2021.495 ◽

2021 ◽

Vol 1 ◽

pp. 2339-2348

Author(s):

Venkata Aditya Dharani Pragada ◽

Akanistha Banerjee ◽

Srinivasan Venkataraman

Keyword(s):

Genetic Algorithm ◽

Hybrid Algorithm ◽

Hybrid Genetic Algorithm ◽

Layout Design ◽

Test Case ◽

Improved Genetic Algorithm ◽

Search Technique ◽

Layout Problem ◽

General Arrangement ◽

Naval Ship

AbstractAn efficient general arrangement is a cornerstone of a good ship design. A big part of the whole general arrangement process is finding an optimized compartment layout. This task is especially tricky since the multiple needs are often conflicting, and it becomes a serious challenge for the ship designers. To aid the ship designers, improved and reliable statistical and computation methods have come to the fore. Genetic algorithms are one of the most widely used methods. Islier's algorithm for the multi-facility layout problem and an improved genetic algorithm for the ship layout design problem are discussed. A new, hybrid genetic algorithm incorporating local search technique to further the improved genetic algorithm's practicality is proposed. Further comparisons are drawn between these algorithms based on a test case layout. Finally, the developed hybrid algorithm is implemented on a section of an actual ship, and the findings are presented.

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Evaluation of Accidental Death Records Using Hybrid Genetic Algorithm

SSRN Electronic Journal ◽

10.2139/ssrn.3563084 ◽

2020 ◽

Cited By ~ 2

Author(s):

Nikhil Sharma ◽

Ila Kaushik ◽

Rajat Rathi ◽

Santosh Kumar

Keyword(s):

Genetic Algorithm ◽

Hybrid Genetic Algorithm ◽

Accidental Death

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Design of GA and Ontology based NLP Frameworks for Online Opinion Mining

Recent Patents on Engineering ◽

10.2174/1872212112666180115162726 ◽

2019 ◽

Vol 13 (2) ◽

pp. 159-165

Author(s):

Manik Sharma ◽

Gurvinder Singh ◽

Rajinder Singh

Keyword(s):

Genetic Algorithm ◽

Natural Language Processing ◽

Natural Language ◽

Language Processing ◽

Opinion Mining ◽

Hybrid Genetic Algorithm ◽

Online Reviews ◽

Middle Tier ◽

Complete Set ◽

Mining Model

Background: For almost every domain, a tremendous degree of data is accessible in an online and offline mode. Billions of users are daily posting their views or opinions by using different online applications like WhatsApp, Facebook, Twitter, Blogs, Instagram etc. Objective: These reviews are constructive for the progress of the venture, civilization, state and even nation. However, this momentous amount of information is useful only if it is collectively and effectively mined. Methodology: Opinion mining is used to extract the thoughts, expression, emotions, critics, appraisal from the data posted by different persons. It is one of the prevailing research techniques that coalesce and employ the features from natural language processing. Here, an amalgamated approach has been employed to mine online reviews. Results: To improve the results of genetic algorithm based opining mining patent, here, a hybrid genetic algorithm and ontology based 3-tier natural language processing framework named GAO_NLP_OM has been designed. First tier is used for preprocessing and corrosion of the sentences. Middle tier is composed of genetic algorithm based searching module, ontology for English sentences, base words for the review, complete set of English words with item and their features. Genetic algorithm is used to expedite the polarity mining process. The last tier is liable for semantic, discourse and feature summarization. Furthermore, the use of ontology assists in progressing more accurate opinion mining model. Conclusion: GAO_NLP_OM is supposed to improve the performance of genetic algorithm based opinion mining patent. The amalgamation of genetic algorithm, ontology and natural language processing seems to produce fast and more precise results. The proposed framework is able to mine simple as well as compound sentences. However, affirmative preceded interrogative, hidden feature and mixed language sentences still be a challenge for the proposed framework.

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