Author
Abhishek Verma
Other affiliations: Indian Institutes of Information Technology, Indian Institute of Information Technology and Management, Gwalior
Bio: Abhishek Verma is an academic researcher from Indian Institute of Technology Kharagpur. The author has contributed to research in topics: Medicine & Poison control. The author has an hindex of 8, co-authored 15 publications receiving 583 citations. Previous affiliations of Abhishek Verma include Indian Institutes of Information Technology & Indian Institute of Information Technology and Management, Gwalior.
Papers
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01 Dec 2011
TL;DR: 15 relatively recent and popular Inertia Weight strategies are studied and their performance on 05 optimization test problems is compared to show which are more efficient than others.
Abstract: Particle Swarm Optimization is a popular heuristic search algorithm which is inspired by the social learning of birds or fishes. It is a swarm intelligence technique for optimization developed by Eberhart and Kennedy [1] in 1995. Inertia weight is an important parameter in PSO, which significantly affects the convergence and exploration-exploitation trade-off in PSO process. Since inception of Inertia Weight in PSO, a large number of variations of Inertia Weight strategy have been proposed. In order to propose one or more than one Inertia Weight strategies which are efficient than others, this paper studies 15 relatively recent and popular Inertia Weight strategies and compares their performance on 05 optimization test problems.
482 citations
TL;DR: In this article, the authors used association rule mining approach to discover cause-and-affect patterns (rules) using 843 incidents in a steel plant in India and extracted 35 meaningful association rules using three criteria, support (S), confidence (C) and lift (L).
96 citations
TL;DR: The DSS is applied to analysing near miss incidents occurred in electric overhead traveling crane operations in a steel plant and provides a logical approach of dimension reduction in a form called ‘funnel diagram’.
38 citations
TL;DR: In this paper, the authors analyzed a steel plant's derailment data using correspondence analysis and found that the level of movements, human involvement, management of wagons, and criticality of movements are the hidden root causes of derailments in the steel plant studied.
22 citations
01 Jan 2018
TL;DR: This study shows how the mapping of the safety factors from both proactive safety data and incident reports can help in the improvement of safety performance as well as better allocation of resources.
Abstract: This study aims to analyse the incident investigation reports logged after the occurrence of events from an integrated steel plant and map it with proactive safety data. From the narrative text describing the event, this study has attempted to unfold the hazards and safety factors present at the workplace. Text document clustering with expectation maximization algorithm (EM) has been used to group the different events and find key phrases from them. These key phrases are considered as the root causes of the reported events. This study shows how the mapping of the safety factors from both proactive safety data and incident reports can help in the improvement of safety performance as well as better allocation of resources. The study points out specific areas to the management where improvements are needed. The mapping also indicates the areas of improvement made by the constant effort of safety practitioners.
20 citations
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TL;DR: The potential of particle swarm optimization for solving various kinds of optimization problems in chemometrics is shown through an extensive description of the algorithm (highlighting the importance of the proper choice of its metaparameters) and by means of selected worked examples in the fields of signal warping, estimation robust PCA solutions and variable selection.
764 citations
TL;DR: A systematic literature review of ML methods applied to PdM, showing which are being explored in this field and the performance of the current state-of-the-art ML techniques.
543 citations
TL;DR: In this article, the authors developed new intelligent prediction models for estimating the tunnel boring machine performance (TBM) by means of the rate pf penetration (PR) of the Pahang-Selangor Raw Water Transfer (PSRWT) tunnel in Malaysia.
286 citations
TL;DR: An overview of the research progress in Particle Swarm Optimization during 1995-2017 is presented, which includes improvements, modifications and applications of this technique.
Abstract: This paper presents an overview of the research progress in Particle Swarm Optimization (PSO) during 1995–2017. Fifty two papers have been reviewed. They have been categorized into nine categories based on various aspects. This technique has attracted many researchers because of its simplicity which led to many improvements and modifications of the basic PSO. Some researchers carried out the hybridization of PSO with other evolutionary techniques. This paper discusses the progress of PSO, its improvements, modifications and applications.
178 citations